Science.gov

Sample records for econometrics

  1. Econometric Studies of Higher Education.

    ERIC Educational Resources Information Center

    Ehrenberg, Ronald G.

    The econometrics of higher education emerged from the development of human capital theory and efforts to estimate rates of return to education in the 1960s and 1970s. This paper surveys the various strands of the literature on the econometrics of higher education that have developed during the last 40 years and indicates how a collection of papers…

  2. An Applied Physicist Does Econometrics

    NASA Astrophysics Data System (ADS)

    Taff, L. G.

    2010-02-01

    The biggest problem those attempting to understand econometric data, via modeling, have is that economics has no F = ma. Without a theoretical underpinning, econometricians have no way to build a good model to fit observations to. Physicists do, and when F = ma failed, we knew it. Still desiring to comprehend econometric data, applied economists turn to mis-applying probability theory---especially with regard to the assumptions concerning random errors---and choosing extremely simplistic analytical formulations of inter-relationships. This introduces model bias to an unknown degree. An applied physicist, used to having to match observations to a numerical or analytical model with a firm theoretical basis, modify the model, re-perform the analysis, and then know why, and when, to delete ``outliers'', is at a considerable advantage when quantitatively analyzing econometric data. I treat two cases. One is to determine the household density distribution of total assets, annual income, age, level of education, race, and marital status. Each of these ``independent'' variables is highly correlated with every other but only current annual income and level of education follow a linear relationship. The other is to discover the functional dependence of total assets on the distribution of assets: total assets has an amazingly tight power law dependence on a quadratic function of portfolio composition. Who knew? )

  3. Crystal study and econometric model

    NASA Technical Reports Server (NTRS)

    1975-01-01

    An econometric model was developed that can be used to predict demand and supply figures for crystals over a time horizon roughly concurrent with that of NASA's Space Shuttle Program - that is, 1975 through 1990. The model includes an equation to predict the impact on investment in the crystal-growing industry. Actually, two models are presented. The first is a theoretical model which follows rather strictly the standard theoretical economic concepts involved in supply and demand analysis, and a modified version of the model was developed which, though not quite as theoretically sound, was testable utilizing existing data sources.

  4. Econometric models for biohydrogen development.

    PubMed

    Lee, Duu-Hwa; Lee, Duu-Jong; Veziroglu, Ayfer

    2011-09-01

    Biohydrogen is considered as an attractive clean energy source due to its high energy content and environmental-friendly conversion. Analyzing various economic scenarios can help decision makers to optimize development strategies for the biohydrogen sector. This study surveys econometric models of biohydrogen development, including input-out models, life-cycle assessment approach, computable general equilibrium models, linear programming models and impact pathway approach. Fundamentals of each model were briefly reviewed to highlight their advantages and disadvantages. The input-output model and the simplified economic input-output life-cycle assessment model proved most suitable for economic analysis of biohydrogen energy development. A sample analysis using input-output model for forecasting biohydrogen development in the United States is given.

  5. Pulling Econometrics Students up by Their Bootstraps

    ERIC Educational Resources Information Center

    O'Hara, Michael E.

    2014-01-01

    Although the concept of the sampling distribution is at the core of much of what we do in econometrics, it is a concept that is often difficult for students to grasp. The thought process behind bootstrapping provides a way for students to conceptualize the sampling distribution in a way that is intuitive and visual. However, teaching students to…

  6. Econometric models for predicting confusion crop ratios

    NASA Technical Reports Server (NTRS)

    Umberger, D. E.; Proctor, M. H.; Clark, J. E.; Eisgruber, L. M.; Braschler, C. B. (Principal Investigator)

    1979-01-01

    Results for both the United States and Canada show that econometric models can provide estimates of confusion crop ratios that are more accurate than historical ratios. Whether these models can support the LACIE 90/90 accuracy criterion is uncertain. In the United States, experimenting with additional model formulations could provide improved methods models in some CRD's, particularly in winter wheat. Improved models may also be possible for the Canadian CD's. The more aggressive province/state models outperformed individual CD/CRD models. This result was expected partly because acreage statistics are based on sampling procedures, and the sampling precision declines from the province/state to the CD/CRD level. Declining sampling precision and the need to substitute province/state data for the CD/CRD data introduced measurement error into the CD/CRD models.

  7. Essays in financial economics and econometrics

    NASA Astrophysics Data System (ADS)

    La Spada, Gabriele

    Chapter 1 (my job market paper) asks the following question: Do asset managers reach for yield because of competitive pressures in a low rate environment? I propose a tournament model of money market funds (MMFs) to study this issue. I show that funds with different costs of default respond differently to changes in interest rates, and that it is important to distinguish the role of risk-free rates from that of risk premia. An increase in the risk premium leads funds with lower default costs to increase risk-taking, while funds with higher default costs reduce risk-taking. Without changes in the premium, low risk-free rates reduce risk-taking. My empirical analysis shows that these predictions are consistent with the risk-taking of MMFs during the 2006--2008 period. Chapter 2, co-authored with Fabrizio Lillo and published in Studies in Nonlinear Dynamics and Econometrics (2014), studies the effect of round-off error (or discretization) on stationary Gaussian long-memory process. For large lags, the autocovariance is rescaled by a factor smaller than one, and we compute this factor exactly. Hence, the discretized process has the same Hurst exponent as the underlying one. We show that in presence of round-off error, two common estimators of the Hurst exponent, the local Whittle (LW) estimator and the detrended fluctuation analysis (DFA), are severely negatively biased in finite samples. We derive conditions for consistency and asymptotic normality of the LW estimator applied to discretized processes and compute the asymptotic properties of the DFA for generic long-memory processes that encompass discretized processes. Chapter 3, co-authored with Fabrizio Lillo, studies the effect of round-off error on integrated Gaussian processes with possibly correlated increments. We derive the variance and kurtosis of the realized increment process in the limit of both "small" and "large" round-off errors, and its autocovariance for large lags. We propose novel estimators for the

  8. The Status of Econometrics in the Economics Major: A Survey

    ERIC Educational Resources Information Center

    Johnson, Bruce K.; Perry, John J.; Petkus, Marie

    2012-01-01

    In this article, the authors describe the place of econometrics in undergraduate economics curricula in all American colleges and universities that offer economics majors as listed in the "U.S. News & World Report" "Best Colleges 2010" guide ("U.S. News & World Report" 2009). Data come from online catalogs, departmental Web sites, and online…

  9. An Econometric Model of the Performing Arts. Final Report.

    ERIC Educational Resources Information Center

    Schwarz, Samuel; Greenfield, Harry I.

    An effort was made to construct and apply an econometric model to explain selected trends and characteristics of symphony orchestras, based on data for the years 1949-75 from 17 major orchestras belonging to the American Symphony Orchestra League. The average length of the playing season increased from about 26 to 49 weeks during the period of the…

  10. State Labor Market Research Study: An Econometric Analysis of the Effects of Labor Subsidies.

    ERIC Educational Resources Information Center

    MacRae, C. Duncan; And Others

    The report describes the construction, application, and theoretical implications of an econometric model depicting the effects of labor subsidies on the supply of workers in the U.S. Three papers deal with the following aspects of constructing the econometric model: (1) examination of equilibrium wages, employment, and earnings of primary and…

  11. Synthesizing Econometric Evidence: The Case of Demand Elasticity Estimates.

    PubMed

    DeCicca, Philip; Kenkel, Don

    2015-06-01

    Econometric estimates of the responsiveness of health-related consumer demand to higher prices are often key ingredients for risk policy analysis. We review the potential advantages and challenges of synthesizing econometric evidence on the price-responsiveness of consumer demand. We draw on examples of research on consumer demand for health-related goods, especially cigarettes. We argue that the overarching goal of research synthesis in this context is to provide policy-relevant evidence for broad-brush conclusions. We propose three main criteria to select among research synthesis methods. We discuss how in principle and in current practice synthesis of research on the price-elasticity of smoking meets our proposed criteria. Our analysis of current practice also contributes to academic research on the specific policy question of the effectiveness of higher cigarette prices to reduce smoking. Although we point out challenges and limitations, we believe more work on research synthesis in this area will be productive and important. PMID:25809022

  12. Technology trends in econometric energy models: Ignorance or information

    SciTech Connect

    Boyd, G. ); Kokkelenberg, E. State Univ., of New York, Binghamton, NY Dept. of Economics); Ross, M. Michigan Univ., Ann Arbor, MI . Dept. of Physics)

    1991-01-01

    Simple time trend variables in factor demand models can be statistically powerful variables, but may tell the researcher very little. Even more complex specification of technical change, e.g. factor biased, are still the economentrician's measure of ignorance'' about the shifts that occur in the underlying production process. Furthermore, in periods of rapid technology change the parameters based on time trends may be too large for long run forecasting. When there is clearly identifiable engineering information about new technology adoption that changes the factor input mix, data for the technology adoption may be included in the traditional factor demand model to economically model specific factor biased technical change and econometrically test their contribution. The adoption of thermomechanical pulping (TMP) and electric are furnaces (EAF) are two electricity intensive technology trends in the Paper and Steel industries, respectively. This paper presents the results of including these variables in a tradition econometric factor demand model, which is based on the Generalized Leontief. The coefficients obtained for this engineering based'' technical change compares quite favorably to engineering estimates of the impact of TMP and EAF on electricity intensities, improves the estimates of the other price coefficients, and yields a more believable long run electricity forecast. 6 refs., 1 fig.

  13. Econometrics of exhaustible resource supply: a theory and an application

    SciTech Connect

    Epple, D.

    1983-01-01

    This report takes a major step toward developing a fruitful approach to empirical analysis of resource supply. It is the first empirical application of resource theory that has successfully integrated the effects of depletion of nonrenewable resources with the effects of uncertainty about future costs and prices on supply behavior. Thus, the model is a major improvement over traditional engineering-optimization models that assume complete certainty, and over traditional econometrics models that are only implicitly related to the theory of resource supply. The model is used to test hypotheses about interdependence of oil and natural gas discoveries, depletion, ultimate recovery, and the role of price expectations. This paper demonstrates the feasibility of using exhaustible resource theory in the development of empirically testable models. 19 refs., 1 fig., 5 tabs.

  14. The econometric submodels of the Energy Policy Socioeconomic Impact Model (EPSIM)

    SciTech Connect

    Butler, J.G.; Poyer, D.A.

    1994-04-01

    The Energy Policy Socioeconomic Impact Model (EPSIM) is an econometric simulation model that runs on IBM-compatible personal computers. It can be used to assess the economic impact of energy policies and programs, such as utility rate designs and demand-side management programs, on various population groups, such as minority and low-income households. The econometric submodels that constitute the internal structure of EPSIM are described in detail.

  15. Allocating physicians' overhead costs to services: an econometric/accounting-activity based-approach.

    PubMed

    Peden, Al; Baker, Judith J

    2002-01-01

    Using the optimizing properties of econometric analysis, this study analyzes how physician overhead costs (OC) can be allocated to multiple activities to maximize precision in reimbursing the costs of services. Drawing on work by Leibenstein and Friedman, the analysis also shows that allocating OC to multiple activities unbiased by revenue requires controlling for revenue when making the estimates. Further econometric analysis shows that it is possible to save about 10 percent of OC by paying only for those that are necessary.

  16. Econometric issues in modeling the costs of AIDS.

    PubMed

    Hay, J W

    1989-01-01

    The goals of AIDS or HIV econometric modeling efforts are: (i) to evaluate or project the costs-of-illness to the individual and to society; and (ii) to examine the efficiency and cost-effectiveness of medical and social services provided to patients. Most of the standard theoretical and statistical approaches are not applicable because of the scarcity, incompleteness and non-representative nature of available data. This paper discusses specific methodological approaches concerning AIDS and HIV epidemiology, medical cost estimation techniques, evaluation of the cost-effectiveness of social support programs and valuation of human life. The epidemiologic projection approach--a simplified 'back calculation' method--suggests that the number of Americans infected with the AIDS virus in 1987-88 was likely to be between 500,000 and 800,000. This estimate is between 2 and 3 times lower than the U.S. Centers for Disease Control estimates. Methods for estimating both the direct and indirect costs of illness are described. PMID:10292981

  17. Econometric Estimation of the Economic Impact of a University. AIR 1993 Annual Forum Paper.

    ERIC Educational Resources Information Center

    Gana, Rajaram

    This study conducted an econometric analysis of the impact of the University of Delaware (UD), a public, doctoral level institution, on the Delaware economy, particularly the impact of nonresident students. To construct a model the study used historical institutional data from the Office of Institutional Research and Planning at UD and…

  18. Econometric Methods for Research in Education. NBER Working Paper No. 16003

    ERIC Educational Resources Information Center

    Meghir, Costas; Rivkin, Steven G.

    2010-01-01

    This paper reviews some of the econometric methods that have been used in the economics of education. The focus is on understanding how the assumptions made to justify and implement such methods relate to the underlying economic model and the interpretation of the results. We start by considering the estimation of the returns to education both…

  19. The Anatomy of a Likely Donor: Econometric Evidence on Philanthropy to Higher Education

    ERIC Educational Resources Information Center

    Lara, Christen; Johnson, Daniel

    2014-01-01

    In 2011, philanthropic giving to higher education institutions totaled $30.3 billion, an 8.2% increase over the previous year. Roughly, 26% of those funds came from alumni donations. This article builds upon existing economic models to create an econometric model to explain and predict the pattern of alumni giving. We test the model using data…

  20. The Nexus of Place and Finance in the Analysis of Educational Attainment: A Spatial Econometric Approach

    ERIC Educational Resources Information Center

    Sutton, Farah

    2012-01-01

    This study examines the spatial distribution of educational attainment and then builds upon current predictive frameworks for understanding patterns of educational attainment by applying a spatial econometric method of analysis. The research from this study enables a new approach to the policy discussion on how to improve educational attainment…

  1. Econometric Methods for Causal Evaluation of Education Policies and Practices: A Non-Technical Guide

    ERIC Educational Resources Information Center

    Schlotter, Martin; Schwerdt, Guido; Woessmann, Ludger

    2011-01-01

    Education policy-makers and practitioners want to know which policies and practices can best achieve their goals. But research that can inform evidence-based policy often requires complex methods to distinguish causation from accidental association. Avoiding econometric jargon and technical detail, this paper explains the main idea and intuition…

  2. An Initial Econometric Consideration of Supply and Demand in the Guaranteed Student Loan Program.

    ERIC Educational Resources Information Center

    Bayus, Barry; Kendis, Kurt

    1982-01-01

    In this econometric model of the Guaranteed Student Loan Program (GSLP), supply is related to banks' liquidity and yield curves, all lenders' economic costs and returns, and Student Loan Marketing Association activity. GSLP demand is based on loan costs, family debt position, and net student need for financial aid. (RW)

  3. Determinants of Educational Achievement in Morocco: A Micro-Econometric Analysis Applied to the TIMSS Study

    ERIC Educational Resources Information Center

    Ibourk, Aomar

    2013-01-01

    Based on data from international surveys measuring learning (TIMSS), this article focuses on the analysis of the academic performance Moroccan students. The results of the econometric model show that the students' characteristics, their family environment and school context are key determinants of these performances. The study also shows that the…

  4. Land-use change and carbon sinks: Econometric estimation of the carbon sequestration supply function

    SciTech Connect

    Lubowski, Ruben N.; Plantinga, Andrew J.; Stavins, Robert N.

    2001-01-01

    Increased attention by policy makers to the threat of global climate change has brought with it considerable interest in the possibility of encouraging the expansion of forest area as a means of sequestering carbon dioxide. The marginal costs of carbon sequestration or, equivalently, the carbon sequestration supply function will determine the ultimate effects and desirability of policies aimed at enhancing carbon uptake. In particular, marginal sequestration costs are the critical statistic for identifying a cost-effective policy mix to mitigate net carbon dioxide emissions. We develop a framework for conducting an econometric analysis of land use for the forty-eight contiguous United States and employing it to estimate the carbon sequestration supply function. By estimating the opportunity costs of land on the basis of econometric evidence of landowners' actual behavior, we aim to circumvent many of the shortcomings of previous sequestration cost assessments. By conducting the first nationwide econometric estimation of sequestration costs, endogenizing prices for land-based commodities, and estimating land-use transition probabilities in a framework that explicitly considers the range of land-use alternatives, we hope to provide better estimates eventually of the true costs of large-scale carbon sequestration efforts. In this way, we seek to add to understanding of the costs and potential of this strategy for addressing the threat of global climate change.

  5. Hedonic approaches based on spatial econometrics and spatial statistics: application to evaluation of project benefits

    NASA Astrophysics Data System (ADS)

    Tsutsumi, Morito; Seya, Hajime

    2009-12-01

    This study discusses the theoretical foundation of the application of spatial hedonic approaches—the hedonic approach employing spatial econometrics or/and spatial statistics—to benefits evaluation. The study highlights the limitations of the spatial econometrics approach since it uses a spatial weight matrix that is not employed by the spatial statistics approach. Further, the study presents empirical analyses by applying the Spatial Autoregressive Error Model (SAEM), which is based on the spatial econometrics approach, and the Spatial Process Model (SPM), which is based on the spatial statistics approach. SPMs are conducted based on both isotropy and anisotropy and applied to different mesh sizes. The empirical analysis reveals that the estimated benefits are quite different, especially between isotropic and anisotropic SPM and between isotropic SPM and SAEM; the estimated benefits are similar for SAEM and anisotropic SPM. The study demonstrates that the mesh size does not affect the estimated amount of benefits. Finally, the study provides a confidence interval for the estimated benefits and raises an issue with regard to benefit evaluation.

  6. Econometrically calibrated computable general equilibrium models: Applications to the analysis of energy and climate politics

    NASA Astrophysics Data System (ADS)

    Schu, Kathryn L.

    Economy-energy-environment models are the mainstay of economic assessments of policies to reduce carbon dioxide (CO2) emissions, yet their empirical basis is often criticized as being weak. This thesis addresses these limitations by constructing econometrically calibrated models in two policy areas. The first is a 35-sector computable general equilibrium (CGE) model of the U.S. economy which analyzes the uncertain impacts of CO2 emission abatement. Econometric modeling of sectors' nested constant elasticity of substitution (CES) cost functions based on a 45-year price-quantity dataset yields estimates of capital-labor-energy-material input substitution elasticities and biases of technical change that are incorporated into the CGE model. I use the estimated standard errors and variance-covariance matrices to construct the joint distribution of the parameters of the economy's supply side, which I sample to perform Monte Carlo baseline and counterfactual runs of the model. The resulting probabilistic abatement cost estimates highlight the importance of the uncertainty in baseline emissions growth. The second model is an equilibrium simulation of the market for new vehicles which I use to assess the response of vehicle prices, sales and mileage to CO2 taxes and increased corporate average fuel economy (CAFE) standards. I specify an econometric model of a representative consumer's vehicle preferences using a nested CES expenditure function which incorporates mileage and other characteristics in addition to prices, and develop a novel calibration algorithm to link this structure to vehicle model supplies by manufacturers engaged in Bertrand competition. CO2 taxes' effects on gasoline prices reduce vehicle sales and manufacturers' profits if vehicles' mileage is fixed, but these losses shrink once mileage can be adjusted. Accelerated CAFE standards induce manufacturers to pay fines for noncompliance rather than incur the higher costs of radical mileage improvements

  7. Much ado about two: reconsidering retransformation and the two-part model in health econometrics.

    PubMed

    Mullahy, J

    1998-06-01

    In health economics applications involving outcomes (y) and covariates (x), it is often the case that the central inferential problems of interest involve E[y/x] and its associated partial effects or elasticities. Many such outcomes have two fundamental statistical properties: y > or = 0; and the outcome y = 0 is observed with sufficient frequency that the zeros cannot be ignored econometrically. This paper (1) describes circumstances where the standard two-part model with homoskedastic retransformation will fail to provide consistent inferences about important policy parameters; and (2) demonstrates some alternative approaches that are likely to prove helpful in applications.

  8. First-Year Study Success in Economics and Econometrics: The Role of Gender, Motivation, and Math Skills

    ERIC Educational Resources Information Center

    Arnold, Ivo J. M.; Rowaan, Wietske

    2014-01-01

    In this study, the authors investigate the relationships among gender, math skills, motivation, and study success in economics and econometrics. They find that female students have stronger intrinsic motivation, yet lower study confidence than their male counterparts. They also find weak evidence for a gender gap over the entire first-year…

  9. Retail gas prices and its effect on actual automobile purchases: An econometric analysis

    NASA Astrophysics Data System (ADS)

    Shaw, Brian F., Sr.

    Weekly aggregate vehicle purchase and retail gasoline price data, over the time span of 2001.01 to 2005.52, were used to determine in the Phoenix, Arizona metropolitan area if the price of gasoline helped to predict vehicle purchases. This time period and data set included the effects of rapidly changing technology and rapidly increasing retail gasoline prices. This time series econometric analysis took advantage of the Phillips-Perron and Augmented Dickey Fuller tests for stationarity, as well as the concept of Granger causality to answer this question. Short-run relationships were present and were not contingent on the gender of the purchaser. The long-run results were affirmative for female purchasers and there was not enough evidence to conclude the same for male purchasers.

  10. Cyberspace Security Econometrics System (CSES) - U.S. Copyright TXu 1-901-039

    SciTech Connect

    Abercrombie, Robert K; Schlicher, Bob G; Sheldon, Frederick T; Lantz, Margaret W; Hauser, Katie R

    2014-01-01

    Information security continues to evolve in response to disruptive changes with a persistent focus on information-centric controls and a healthy debate about balancing endpoint and network protection, with a goal of improved enterprise/business risk management. Economic uncertainty, intensively collaborative styles of work, virtualization, increased outsourcing and ongoing compliance pressures require careful consideration and adaptation. The Cyberspace Security Econometrics System (CSES) provides a measure (i.e., a quantitative indication) of reliability, performance, and/or safety of a system that accounts for the criticality of each requirement as a function of one or more stakeholders interests in that requirement. For a given stakeholder, CSES accounts for the variance that may exist among the stakes one attaches to meeting each requirement. The basis, objectives and capabilities for the CSES including inputs/outputs as well as the structural and mathematical underpinnings contained in this copyright.

  11. Evaluation of factors affecting prescribing behaviors, in iran pharmaceutical market by econometric methods.

    PubMed

    Tahmasebi, Nima; Kebriaeezadeh, Abbas

    2015-01-01

    Prescribing behavior of physicians affected by many factors. The present study is aimed at discovering the simultaneous effects of the evaluated factors (including: price, promotion and demographic characteristics of physicians) and quantification of these effects. In order to estimate these effects, Fluvoxamine (an antidepressant drug) was selected and the model was figured out by panel data method in econometrics. We found that insurance and advertisement respectively are the most effective on increasing the frequency of prescribing, whilst negative correlation was observed between price and the frequency of prescribing a drug. Also brand type is more sensitive to negative effect of price than to generic. Furthermore, demand for a prescription drug is related with physician demographics (age and sex). According to the results of this study, pharmaceutical companies should pay more attention to the demographic characteristics of physicians (age and sex) and their advertisement and pricing strategies. PMID:25901174

  12. Does a hospital's quality depend on the quality of other hospitals? A spatial econometrics approach

    PubMed Central

    Gravelle, Hugh; Santos, Rita; Siciliani, Luigi

    2014-01-01

    We examine whether a hospital's quality is affected by the quality provided by other hospitals in the same market. We first sketch a theoretical model with regulated prices and derive conditions on demand and cost functions which determine whether a hospital will increase its quality if its rivals increase their quality. We then apply spatial econometric methods to a sample of English hospitals in 2009–10 and a set of 16 quality measures including mortality rates, readmission, revision and redo rates, and three patient reported indicators, to examine the relationship between the quality of hospitals. We find that a hospital's quality is positively associated with the quality of its rivals for seven out of the sixteen quality measures. There are no statistically significant negative associations. In those cases where there is a significant positive association, an increase in rivals' quality by 10% increases a hospital's quality by 1.7% to 2.9%. The finding suggests that for some quality measures a policy which improves the quality in one hospital will have positive spillover effects on the quality in other hospitals. PMID:25843994

  13. The core determinants of health expenditure in the African context: some econometric evidence for policy.

    PubMed

    Murthy, Vasudeva N R; Okunade, Albert A

    2009-06-01

    This paper, using cross-sectional data from 44 (83% of all) African countries for year 2001, presents econometric model estimates linking real per-capita health expenditure (HEXP) to a host of economic and non-economic factors. The empirical results of OLS and robust LAE estimators indicate that real per-capita GDP (PRGDP) and real per-capita foreign aid (FAID) resources are both core and statistically significant correlates of HEXP. Our empirical results suggest that health care in the African context is technically, a necessity rather than a luxury good (for the OECD countries). This suggests that the goal of health system in Africa is primarily 'physiological' or 'curative' rather than 'caring' or 'pampering'. The positive association of HEXP with FAID hints that external resource inflows targeting health could be instrumental for spurring economic progress in good policy environments. Most African countries until the late 1990s experienced economic and political instability, and faced stringent structural adjustment mandates of the major international financial institution lenders for economic development. Therefore, our finding a positive effect of FAID on HEXP could suggest that external resource inflows softened some of the macroeconomic fiscal deficit impacts on HEXP in the 2000s. Policy implications of country-specific elasticity estimates are given. PMID:19108929

  14. An assessment of Japanese carbon tax reform using the E3MG econometric model.

    PubMed

    Lee, Soocheol; Pollitt, Hector; Ueta, Kazuhiro

    2012-01-01

    This paper analyses the potential economic and environmental effects of carbon taxation in Japan using the E3MG model, a global macroeconometric model constructed by the University of Cambridge and Cambridge Econometrics. The paper approaches the issues by considering first the impacts of the carbon tax in Japan introduced in 2012 and then the measures necessary to reduce Japan's emissions in line with its Copenhagen pledge of -25% compared to 1990 levels. The results from the model suggest that FY2012 Tax Reform has only a small impact on emission levels and no significant impact on GDP and employment. The potential costs of reducing emissions to meet the 25% reduction target for 2020 are quite modest, but noticeable. GDP falls by around 1.2% compared to the baseline and employment by 0.4% compared to the baseline. But this could be offset, with some potential economic benefits, if revenues are recycled efficiently. This paper considers two revenue recycling scenarios. The most positive outcome is if revenues are used both to reduce income tax rates and to increase investment in energy efficiency. This paper shows there could be double dividend effects, if Carbon Tax Reform is properly designed. PMID:23365531

  15. The Standard Model in the history of the Natural Sciences, Econometrics, and the social sciences

    NASA Astrophysics Data System (ADS)

    Fisher, W. P., Jr.

    2010-07-01

    In the late 18th and early 19th centuries, scientists appropriated Newton's laws of motion as a model for the conduct of any other field of investigation that would purport to be a science. This early form of a Standard Model eventually informed the basis of analogies for the mathematical expression of phenomena previously studied qualitatively, such as cohesion, affinity, heat, light, electricity, and magnetism. James Clerk Maxwell is known for his repeated use of a formalized version of this method of analogy in lectures, teaching, and the design of experiments. Economists transferring skills learned in physics made use of the Standard Model, especially after Maxwell demonstrated the value of conceiving it in abstract mathematics instead of as a concrete and literal mechanical analogy. Haavelmo's probability approach in econometrics and R. Fisher's Statistical Methods for Research Workers brought a statistical approach to bear on the Standard Model, quietly reversing the perspective of economics and the social sciences relative to that of physics. Where physicists, and Maxwell in particular, intuited scientific method as imposing stringent demands on the quality and interrelations of data, instruments, and theory in the name of inferential and comparative stability, statistical models and methods disconnected theory from data by removing the instrument as an essential component. New possibilities for reconnecting economics and the social sciences to Maxwell's sense of the method of analogy are found in Rasch's probabilistic models for measurement.

  16. An assessment of Japanese carbon tax reform using the E3MG econometric model.

    PubMed

    Lee, Soocheol; Pollitt, Hector; Ueta, Kazuhiro

    2012-01-01

    This paper analyses the potential economic and environmental effects of carbon taxation in Japan using the E3MG model, a global macroeconometric model constructed by the University of Cambridge and Cambridge Econometrics. The paper approaches the issues by considering first the impacts of the carbon tax in Japan introduced in 2012 and then the measures necessary to reduce Japan's emissions in line with its Copenhagen pledge of -25% compared to 1990 levels. The results from the model suggest that FY2012 Tax Reform has only a small impact on emission levels and no significant impact on GDP and employment. The potential costs of reducing emissions to meet the 25% reduction target for 2020 are quite modest, but noticeable. GDP falls by around 1.2% compared to the baseline and employment by 0.4% compared to the baseline. But this could be offset, with some potential economic benefits, if revenues are recycled efficiently. This paper considers two revenue recycling scenarios. The most positive outcome is if revenues are used both to reduce income tax rates and to increase investment in energy efficiency. This paper shows there could be double dividend effects, if Carbon Tax Reform is properly designed.

  17. An Assessment of Japanese Carbon Tax Reform Using the E3MG Econometric Model

    PubMed Central

    Lee, Soocheol; Pollitt, Hector; Ueta, Kazuhiro

    2012-01-01

    This paper analyses the potential economic and environmental effects of carbon taxation in Japan using the E3MG model, a global macroeconometric model constructed by the University of Cambridge and Cambridge Econometrics. The paper approaches the issues by considering first the impacts of the carbon tax in Japan introduced in 2012 and then the measures necessary to reduce Japan's emissions in line with its Copenhagen pledge of −25% compared to 1990 levels. The results from the model suggest that FY2012 Tax Reform has only a small impact on emission levels and no significant impact on GDP and employment. The potential costs of reducing emissions to meet the 25% reduction target for 2020 are quite modest, but noticeable. GDP falls by around 1.2% compared to the baseline and employment by 0.4% compared to the baseline. But this could be offset, with some potential economic benefits, if revenues are recycled efficiently. This paper considers two revenue recycling scenarios. The most positive outcome is if revenues are used both to reduce income tax rates and to increase investment in energy efficiency. This paper shows there could be double dividend effects, if Carbon Tax Reform is properly designed. PMID:23365531

  18. Food preparation patterns in German family households. An econometric approach with time budget data.

    PubMed

    Möser, Anke

    2010-08-01

    In Germany, the rising importance of out-of-home consumption, increasing usage of convenience products and decreasing knowledge of younger individuals how to prepare traditional dishes can be seen as obvious indicators for shifting patterns in food preparation. In this paper, econometric analyses are used to shed more light on the factors which may influence the time spent on food preparation in two-parent family households with children. Two time budget surveys, carried out 1991/92 and 2001/02 through the German National Statistical Office, provide the necessary data. Time budget data analyses reveal that over the last ten years the time spent on food preparation in Germany has decreased. The results point out that time resources of a household, for example gainful employment of the parents, significantly affect the amount of time spent on food preparation. The analysis confirms further that there is a more equal allocation of time spent on cooking, baking or laying the table between women and men in the last ten years. Due to changing attitudes and conceivably adaption of economic conditions, differences in time devoted to food preparation seem to have vanished between Eastern and Western Germany. Greater time spent on eating out in Germany as well as decreasing time spent on food preparation at home reveal that the food provisioning of families is no longer a primarily private task of the households themselves but needs more public attention and institutional offers and help. Among other points, the possibility of addressing mothers' lack of time as well as growing "food illiteracy" of children and young adults are discussed.

  19. Food preparation patterns in German family households. An econometric approach with time budget data.

    PubMed

    Möser, Anke

    2010-08-01

    In Germany, the rising importance of out-of-home consumption, increasing usage of convenience products and decreasing knowledge of younger individuals how to prepare traditional dishes can be seen as obvious indicators for shifting patterns in food preparation. In this paper, econometric analyses are used to shed more light on the factors which may influence the time spent on food preparation in two-parent family households with children. Two time budget surveys, carried out 1991/92 and 2001/02 through the German National Statistical Office, provide the necessary data. Time budget data analyses reveal that over the last ten years the time spent on food preparation in Germany has decreased. The results point out that time resources of a household, for example gainful employment of the parents, significantly affect the amount of time spent on food preparation. The analysis confirms further that there is a more equal allocation of time spent on cooking, baking or laying the table between women and men in the last ten years. Due to changing attitudes and conceivably adaption of economic conditions, differences in time devoted to food preparation seem to have vanished between Eastern and Western Germany. Greater time spent on eating out in Germany as well as decreasing time spent on food preparation at home reveal that the food provisioning of families is no longer a primarily private task of the households themselves but needs more public attention and institutional offers and help. Among other points, the possibility of addressing mothers' lack of time as well as growing "food illiteracy" of children and young adults are discussed. PMID:20420870

  20. Peer influences on drug self-administration: an econometric analysis in socially housed rats.

    PubMed

    Peitz, Geoffrey W; Strickland, Justin C; Pitts, Elizabeth G; Foley, Mark; Tonidandel, Scott; Smith, Mark A

    2013-04-01

    Social-learning theories of substance use propose that members of peer groups influence the drug use of other members by selectively modeling, reinforcing, and punishing either abstinence-related or drug-related behaviors. The objective of the present study was to examine the social influences on cocaine self-administration in isolated and socially housed rats, under conditions where the socially housed rats were tested simultaneously with their partner in the same chamber. To this end, male rats were obtained at weaning and housed in isolated or pair-housed conditions for 6 weeks. Rats were then implanted with intravenous catheters and cocaine self-administration was examined in custom-built operant conditioning chambers that allowed two rats to be tested simultaneously. For some socially housed subjects, both rats had simultaneous access to cocaine; for others, only one rat of the pair had access to cocaine. An econometric analysis was applied to the data, and the reinforcing strength of cocaine was measured by examining consumption (i.e. quantity demanded) and elasticity of demand as a function of price, which was manipulated by varying the dose and ratio requirements on a fixed ratio schedule of reinforcement. Cocaine consumption decreased as a function of price in all groups. Elasticity of demand did not vary across groups, but consumption was significantly lower in socially housed rats paired with a rat without access to cocaine. These data suggest that the presence of an abstaining peer decreases the reinforcing strength of cocaine, thus supporting the development of social interventions in drug abuse prevention and treatment programs. PMID:23412112

  1. Selection bias in species distribution models: An econometric approach on forest trees based on structural modeling

    NASA Astrophysics Data System (ADS)

    Martin-StPaul, N. K.; Ay, J. S.; Guillemot, J.; Doyen, L.; Leadley, P.

    2014-12-01

    Species distribution models (SDMs) are widely used to study and predict the outcome of global changes on species. In human dominated ecosystems the presence of a given species is the result of both its ecological suitability and human footprint on nature such as land use choices. Land use choices may thus be responsible for a selection bias in the presence/absence data used in SDM calibration. We present a structural modelling approach (i.e. based on structural equation modelling) that accounts for this selection bias. The new structural species distribution model (SSDM) estimates simultaneously land use choices and species responses to bioclimatic variables. A land use equation based on an econometric model of landowner choices was joined to an equation of species response to bioclimatic variables. SSDM allows the residuals of both equations to be dependent, taking into account the possibility of shared omitted variables and measurement errors. We provide a general description of the statistical theory and a set of applications on forest trees over France using databases of climate and forest inventory at different spatial resolution (from 2km to 8km). We also compared the outputs of the SSDM with outputs of a classical SDM (i.e. Biomod ensemble modelling) in terms of bioclimatic response curves and potential distributions under current climate and climate change scenarios. The shapes of the bioclimatic response curves and the modelled species distribution maps differed markedly between SSDM and classical SDMs, with contrasted patterns according to species and spatial resolutions. The magnitude and directions of these differences were dependent on the correlations between the errors from both equations and were highest for higher spatial resolutions. A first conclusion is that the use of classical SDMs can potentially lead to strong miss-estimation of the actual and future probability of presence modelled. Beyond this selection bias, the SSDM we propose represents

  2. Macro-econometric model of the Nigerian economy: a simulated analysis of oil shocks in a development context

    SciTech Connect

    Usip, E.E.E.

    1984-01-01

    The precarious position of Nigeria in being a one-resource (oil) based economy in terms of revenue generation has become a major cause of concern for the experts and political pundits. In this study, the author seeks to explore further the empirical basis for this concern in two stages. First, a macro-econometric model of Nigeria was constructed and evaluated. The model highlights the various channels through which the oil sector influences the rest of the economy. Economic theory, econometric techniques, existing fund of knowledge in the practice, computer simulation, and the institutional framework of Nigeria were brought to bear upon the modeling process. In the second stage, the resulting simulation model was used to examine the sensitivity of the economy to the leading sector (oil) as well as the growth potential of Nigeria up to 1986. The crucial question that was addressed is: will the oil sector be able to support a continuing economic growth of Nigeria in the absence of policy initiatives to diversify the revenue base of the economy. Although the empirical findings are hypothetical, they do have far-reaching implications for Nigeria's growth prospects and political stability.

  3. Integrating geographic information systems and remote sensing with spatial econometric and mixed logit models for environmental valuation

    NASA Astrophysics Data System (ADS)

    Wells, Aaron Raymond

    This research focuses on the Emory and Obed Watersheds in the Cumberland Plateau in Central Tennessee and the Lower Hatchie River Watershed in West Tennessee. A framework based on market and nonmarket valuation techniques was used to empirically estimate economic values for environmental amenities and negative externalities in these areas. The specific techniques employed include a variation of hedonic pricing and discrete choice conjoint analysis (i.e., choice modeling), in addition to geographic information systems (GIS) and remote sensing. Microeconomic models of agent behavior, including random utility theory and profit maximization, provide the principal theoretical foundation linking valuation techniques and econometric models. The generalized method of moments estimator for a first-order spatial autoregressive function and mixed logit models are the principal econometric methods applied within the framework. The dissertation is subdivided into three separate chapters written in a manuscript format. The first chapter provides the necessary theoretical and mathematical conditions that must be satisfied in order for a forest amenity enhancement program to be implemented. These conditions include utility, value, and profit maximization. The second chapter evaluates the effect of forest land cover and information about future land use change on respondent preferences and willingness to pay for alternative hypothetical forest amenity enhancement options. Land use change information and the amount of forest land cover significantly influenced respondent preferences, choices, and stated willingness to pay. Hicksian welfare estimates for proposed enhancement options ranged from 57.42 to 25.53, depending on the policy specification, information level, and econometric model. The third chapter presents economic values for negative externalities associated with channelization that affect the productivity and overall market value of forested wetlands. Results of robust

  4. The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics. NBER Working Paper No. 15794

    ERIC Educational Resources Information Center

    Angrist, Joshua; Pischke, Jorn-Steffen

    2010-01-01

    This essay reviews progress in empirical economics since Leamer'rs (1983) critique. Leamer highlighted the benefits of sensitivity analysis, a procedure in which researchers show how their results change with changes in specification or functional form. Sensitivity analysis has had a salutary but not a revolutionary effect on econometric practice.…

  5. Perspectives on econometric modelling to inform policy: a UK qualitative case study of minimum unit pricing of alcohol

    PubMed Central

    Bond, Lyndal; Hilton, Shona

    2014-01-01

    Background: Novel policy interventions may lack evaluation-based evidence. Considerations to introduce minimum unit pricing (MUP) of alcohol in the UK were informed by econometric modelling (the ‘Sheffield model’). We aim to investigate policy stakeholders’ views of the utility of modelling studies for public health policy. Methods: In-depth qualitative interviews with 36 individuals involved in MUP policy debates (purposively sampled to include civil servants, politicians, academics, advocates and industry-related actors) were conducted and thematically analysed. Results: Interviewees felt familiar with modelling studies and often displayed detailed understandings of the Sheffield model. Despite this, many were uneasy about the extent to which the Sheffield model could be relied on for informing policymaking and preferred traditional evaluations. A tension was identified between this preference for post hoc evaluations and a desire for evidence derived from local data, with modelling seen to offer high external validity. MUP critics expressed concern that the Sheffield model did not adequately capture the ‘real life’ world of the alcohol market, which was conceptualized as a complex and, to some extent, inherently unpredictable system. Communication of modelling results was considered intrinsically difficult but presenting an appropriate picture of the uncertainties inherent in modelling was viewed as desirable. There was general enthusiasm for increased use of econometric modelling to inform future policymaking but an appreciation that such evidence should only form one input into the process. Conclusion: Modelling studies are valued by policymakers as they provide contextually relevant evidence for novel policies, but tensions exist with views of traditional evaluation-based evidence. PMID:24367068

  6. Characterizing China's energy consumption with selective economic factors and energy-resource endowment: a spatial econometric approach

    NASA Astrophysics Data System (ADS)

    Jiang, Lei; Ji, Minhe; Bai, Ling

    2015-06-01

    Coupled with intricate regional interactions, the provincial disparity of energy-resource endowment and other economic conditions in China have created spatially complex energy consumption patterns that require analyses beyond the traditional ones. To distill the spatial effect out of the resource and economic factors on China's energy consumption, this study recast the traditional econometric model in a spatial context. Several analytic steps were taken to reveal different aspects of the issue. Per capita energy consumption (AVEC) at the provincial level was first mapped to reveal spatial clusters of high energy consumption being located in either well developed or energy resourceful regions. This visual spatial autocorrelation pattern of AVEC was quantitatively tested to confirm its existence among Chinese provinces. A Moran scatterplot was employed to further display a relatively centralized trend occurring in those provinces that had parallel AVEC, revealing a spatial structure with attraction among high-high or low-low regions and repellency among high-low or low-high regions. By a comparison between the ordinary least square (OLS) model and its spatial econometric counterparts, a spatial error model (SEM) was selected to analyze the impact of major economic determinants on AVEC. While the analytic results revealed a significant positive correlation between AVEC and economic development, other determinants showed some intricate influential patterns. The provinces endowed with rich energy reserves were inclined to consume much more energy than those otherwise, whereas changing the economic structure by increasing the proportion of secondary and tertiary industries also tended to consume more energy. Both situations seem to underpin the fact that these provinces were largely trapped in the economies that were supported by technologies of low energy efficiency during the period, while other parts of the country were rapidly modernized by adopting advanced

  7. Econometric analysis of the changing effects in wind strength and significant wave height on the probability of casualty in shipping.

    PubMed

    Knapp, Sabine; Kumar, Shashi; Sakurada, Yuri; Shen, Jiajun

    2011-05-01

    This study uses econometric models to measure the effect of significant wave height and wind strength on the probability of casualty and tests whether these effects changed. While both effects are in particular relevant for stability and strength calculations of vessels, it is also helpful for the development of ship construction standards in general to counteract increased risk resulting from changing oceanographic conditions. The authors analyzed a unique dataset of 3.2 million observations from 20,729 individual vessels in the North Atlantic and Arctic regions gathered during the period 1979-2007. The results show that although there is a seasonal pattern in the probability of casualty especially during the winter months, the effect of wind strength and significant wave height do not follow the same seasonal pattern. Additionally, over time, significant wave height shows an increasing effect in January, March, May and October while wind strength shows a decreasing effect, especially in January, March and May. The models can be used to simulate relationships and help understand the relationships. This is of particular interest to naval architects and ship designers as well as multilateral agencies such as the International Maritime Organization (IMO) that establish global standards in ship design and construction. PMID:21376925

  8. The relationship of sugar to population-level diabetes prevalence: an econometric analysis of repeated cross-sectional data.

    PubMed

    Basu, Sanjay; Yoffe, Paula; Hills, Nancy; Lustig, Robert H

    2013-01-01

    While experimental and observational studies suggest that sugar intake is associated with the development of type 2 diabetes, independent of its role in obesity, it is unclear whether alterations in sugar intake can account for differences in diabetes prevalence among overall populations. Using econometric models of repeated cross-sectional data on diabetes and nutritional components of food from 175 countries, we found that every 150 kcal/person/day increase in sugar availability (about one can of soda/day) was associated with increased diabetes prevalence by 1.1% (p <0.001) after testing for potential selection biases and controlling for other food types (including fibers, meats, fruits, oils, cereals), total calories, overweight and obesity, period-effects, and several socioeconomic variables such as aging, urbanization and income. No other food types yielded significant individual associations with diabetes prevalence after controlling for obesity and other confounders. The impact of sugar on diabetes was independent of sedentary behavior and alcohol use, and the effect was modified but not confounded by obesity or overweight. Duration and degree of sugar exposure correlated significantly with diabetes prevalence in a dose-dependent manner, while declines in sugar exposure correlated with significant subsequent declines in diabetes rates independently of other socioeconomic, dietary and obesity prevalence changes. Differences in sugar availability statistically explain variations in diabetes prevalence rates at a population level that are not explained by physical activity, overweight or obesity.

  9. An Econometric Analysis of the Elasticity of Vehicle Travel with Respect to Fuel Cost per Mile Using RTEC Survey Data

    SciTech Connect

    Greene, D.L.; Kahn, J.; Gibson, R.

    1999-03-01

    This paper presents the results of econometric estimation of the ''rebound effect'' for household vehicle travel in the United States based on a comprehensive analysis of survey data collected by the U.S. Energy Information Administration (EIA) at approximately three-year intervals over a 15-year period. The rebound effect is defined as the percent change in vehicle travel for a percent change in fuel economy. It summarizes the tendency to ''take back'' potential energy savings due to fuel economy improvements in the form of increased vehicle travel. Separate vehicles use models were estimated for one-, two-, three-, four-, and five-vehicle households. The results are consistent with the consensus of recently published estimates based on national or state-level data, which show a long-run rebound effect of about +0.2 (a ten percent increase in fuel economy, all else equal, would produce roughly a two percent increase in vehicle travel and an eight percent reduction in fuel use). The hypothesis that vehicle travel responds equally to changes in fuel cost-per-mile whether caused by changes in fuel economy or fuel price per gallon could not be rejected. Recognizing the interdependency in survey data among miles of travel, fuel economy and price paid for fuel for a particular vehicle turns out to be crucial to obtaining meaningful results.

  10. Antiretroviral Treatment Scale-Up and Tuberculosis Mortality in High TB/HIV Burden Countries: An Econometric Analysis

    PubMed Central

    Yan, Isabel; Bendavid, Eran; Korenromp, Eline L.

    2016-01-01

    Introduction Antiretroviral therapy (ART) reduces mortality in patients with active tuberculosis (TB), but the population-level relationship between ART coverage and TB mortality is untested. We estimated the reduction in population-level TB mortality that can be attributed to increasing ART coverage across 41 high HIV-TB burden countries. Methods We compiled TB mortality trends between 1996 and 2011 from two sources: (1) national program-reported TB death notifications, adjusted for annual TB case detection rates, and (2) WHO TB mortality estimates. National coverage with ART, as proportion of HIV-infected people in need, was obtained from UNAIDS. We applied panel linear regressions controlling for HIV prevalence (5-year lagged), coverage of TB interventions (estimated by WHO and UNAIDS), gross domestic product per capita, health spending from domestic sources, urbanization, and country fixed effects. Results Models suggest that that increasing ART coverage was followed by reduced TB mortality, across multiple specifications. For death notifications at 2 to 5 years following a given ART scale-up, a 1% increase in ART coverage predicted 0.95% faster mortality rate decline (p = 0.002); resulting in 27% fewer TB deaths in 2011 alone than would have occurred without ART. Based on WHO death estimates, a 1% increase in ART predicted a 1.0% reduced TB death rate (p<0.001), and 31% fewer deaths in 2011. TB mortality was higher at higher HIV prevalence (p<0.001), but not related to coverage of isoniazid preventive therapy, cotrimoxazole preventive therapy, or other covariates. Conclusion This econometric analysis supports a substantial impact of ART on population-level TB mortality realized already within the first decade of ART scale-up, that is apparent despite variable-quality mortality data. PMID:27536864

  11. A Systematic Comprehensive Computational Model for Stake Estimation in Mission Assurance: Applying Cyber Security Econometrics System (CSES) to Mission Assurance Analysis Protocol (MAAP)

    SciTech Connect

    Abercrombie, Robert K; Sheldon, Frederick T; Grimaila, Michael R

    2010-01-01

    In earlier works, we presented a computational infrastructure that allows an analyst to estimate the security of a system in terms of the loss that each stakeholder stands to sustain as a result of security breakdowns. In this paper, we discuss how this infrastructure can be used in the subject domain of mission assurance as defined as the full life-cycle engineering process to identify and mitigate design, production, test, and field support deficiencies of mission success. We address the opportunity to apply the Cyberspace Security Econometrics System (CSES) to Carnegie Mellon University and Software Engineering Institute s Mission Assurance Analysis Protocol (MAAP) in this context.

  12. Accounting for selection bias in species distribution models: An econometric approach on forested trees based on structural modeling

    NASA Astrophysics Data System (ADS)

    Ay, Jean-Sauveur; Guillemot, Joannès; Martin-StPaul, Nicolas K.; Doyen, Luc; Leadley, Paul

    2015-04-01

    Species distribution models (SDMs) are widely used to study and predict the outcome of global change on species. In human dominated ecosystems the presence of a given species is the result of both its ecological suitability and human footprint on nature such as land use choices. Land use choices may thus be responsible for a selection bias in the presence/absence data used in SDM calibration. We present a structural modelling approach (i.e. based on structural equation modelling) that accounts for this selection bias. The new structural species distribution model (SSDM) estimates simultaneously land use choices and species responses to bioclimatic variables. A land use equation based on an econometric model of landowner choices was joined to an equation of species response to bioclimatic variables. SSDM allows the residuals of both equations to be dependent, taking into account the possibility of shared omitted variables and measurement errors. We provide a general description of the statistical theory and a set of application on forested trees over France using databases of climate and forest inventory at different spatial resolution (from 2km to 8 km). We also compared the output of the SSDM with outputs of a classical SDM in term of bioclimatic response curves and potential distribution under current climate. According to the species and the spatial resolution of the calibration dataset, shapes of bioclimatic response curves the modelled species distribution maps differed markedly between the SSDM and classical SDMs. The magnitude and directions of these differences were dependent on the correlations between the errors from both equations and were highest for higher spatial resolutions. A first conclusion is that the use of classical SDMs can potentially lead to strong miss-estimation of the actual and future probability of presence modelled. Beyond this selection bias, the SSDM we propose represents a crucial step to account for economic constraints on tree

  13. Applying econometric techniques to hydrological problems in a large basin: Quantifying the rainfall-discharge relationship in the Burdekin, Queensland, Australia

    NASA Astrophysics Data System (ADS)

    Jarvis, Diane; Stoeckl, Natalie; Chaiechi, Taha

    2013-07-01

    This study seeks to explore the relationship between rainfall and river discharge within a large river basin flowing into the waters surrounding the Great Barrier Reef (GBR), and to investigate the best method of measuring the relationship. This aim is addressed by focusing on three specific research questions: (A) Has there been any evidence that global climate change has impacted on either rainfall or river discharge resulting in any change to the relationship between these variables over time? (B) What is the best measure of rainfall to be used to quantify the rainfall-discharge relationship, including the optimal number of rain stations to be included in the sample? (C) What is the optimal temporal scale for measuring the relationship (ranging from fine scale monthly data, medium scale quarterly data, and coarse scale annual data)? Modern econometric time series techniques are utilised, and compared with results using an alternate technique developed by researchers from the bio-physical sciences; the widely used Thiessen Polygon method. Firstly, stationarity testing, using econometric unit root tests, did not find evidence to suggest that the data are non-stationary. Evidently, climate change has not had a measurable impact on rainfall or river discharge in the region during the period covered by this study. Secondly, the analysis shows that the when dealing with fairly simple models with a fairly small number of explanatory variables, those which best represent the river-discharge relationship are those using the coarser scales (both geographic and temporal). In other words, stronger and more robust results are derived from models using fewer rain stations, and annual data (rather than quarterly or monthly data). This approach provides a viable alternative that may be very useful in data-poor environments when it is not possible to use other more data-hungry modelling approaches. The econometric models provided a better explanation of the relationship than the

  14. Assessing the impact on chronic disease of incorporating the societal cost of greenhouse gases into the price of food: an econometric and comparative risk assessment modelling study

    PubMed Central

    Briggs, Adam D M; Kehlbacher, Ariane; Tiffin, Richard; Garnett, Tara; Rayner, Mike; Scarborough, Peter

    2013-01-01

    Objectives To model the impact on chronic disease of a tax on UK food and drink that internalises the wider costs to society of greenhouse gas (GHG) emissions and to estimate the potential revenue. Design An econometric and comparative risk assessment modelling study. Setting The UK. Participants The UK adult population. Interventions Two tax scenarios are modelled: (A) a tax of £2.72/tonne carbon dioxide equivalents (tCO2e)/100 g product applied to all food and drink groups with above average GHG emissions. (B) As with scenario (A) but food groups with emissions below average are subsidised to create a tax neutral scenario. Outcome measures Primary outcomes are change in UK population mortality from chronic diseases following the implementation of each taxation strategy, the change in the UK GHG emissions and the predicted revenue. Secondary outcomes are the changes to the micronutrient composition of the UK diet. Results Scenario (A) results in 7770 (95% credible intervals 7150 to 8390) deaths averted and a reduction in GHG emissions of 18 683 (14 665to 22 889) ktCO2e/year. Estimated annual revenue is £2.02 (£1.98 to £2.06) billion. Scenario (B) results in 2685 (1966 to 3402) extra deaths and a reduction in GHG emissions of 15 228 (11 245to 19 492) ktCO2e/year. Conclusions Incorporating the societal cost of GHG into the price of foods could save 7770 lives in the UK each year, reduce food-related GHG emissions and generate substantial tax revenue. The revenue neutral scenario (B) demonstrates that sustainability and health goals are not always aligned. Future work should focus on investigating the health impact by population subgroup and on designing fiscal strategies to promote both sustainable and healthy diets. PMID:24154517

  15. Overall and income specific effect on prevalence of overweight and obesity of 20% sugar sweetened drink tax in UK: econometric and comparative risk assessment modelling study

    PubMed Central

    Briggs, Adam D M; Mytton, Oliver T; Kehlbacher, Ariane; Tiffin, Richard; Scarborough, Peter

    2013-01-01

    Objective To model the overall and income specific effect of a 20% tax on sugar sweetened drinks on the prevalence of overweight and obesity in the UK. Design Econometric and comparative risk assessment modelling study. Setting United Kingdom. Population Adults aged 16 and over. Intervention A 20% tax on sugar sweetened drinks. Main outcome measures The primary outcomes were the overall and income specific changes in the number and percentage of overweight (body mass index ≥25) and obese (≥30) adults in the UK following the implementation of the tax. Secondary outcomes were the effect by age group (16-29, 30-49, and ≥50 years) and by UK constituent country. The revenue generated from the tax and the income specific changes in weekly expenditure on drinks were also estimated. Results A 20% tax on sugar sweetened drinks was estimated to reduce the number of obese adults in the UK by 1.3% (95% credible interval 0.8% to 1.7%) or 180 000 (110 000 to 247 000) people and the number who are overweight by 0.9% (0.6% to 1.1%) or 285 000 (201 000 to 364 000) people. The predicted reductions in prevalence of obesity for income thirds 1 (lowest income), 2, and 3 (highest income) were 1.3% (0.3% to 2.0%), 0.9% (0.1% to 1.6%), and 2.1% (1.3% to 2.9%). The effect on obesity declined with age. Predicted annual revenue was £276m (£272m to £279m), with estimated increases in total expenditure on drinks for income thirds 1, 2, and 3 of 2.1% (1.4% to 3.0%), 1.7% (1.2% to 2.2%), and 0.8% (0.4% to 1.2%). Conclusions A 20% tax on sugar sweetened drinks would lead to a reduction in the prevalence of obesity in the UK of 1.3% (around 180 000 people). The greatest effects may occur in young people, with no significant differences between income groups. Both effects warrant further exploration. Taxation of sugar sweetened drinks is a promising population measure to target population obesity, particularly among younger adults. PMID:24179043

  16. Cyberspace Security Econometrics System (CSES)

    2012-07-27

    Information security continues to evolve in response to disruptive changes with a persistent focus on information-centric controls and a healthy debate about balancing endpoint and network protection, with a goal of improved enterprise/business risk management. Economic uncertainty, intensively collaborative styles of work, virtualization, increased outsourcing and ongoing complance pressures require careful consideration and adaption. The CSES provides a measure (i.e. a quantitative indication) of reliability, performance, and/or safety of a system that accounts for themore » criticality of each requirement as a function of one or more stakeholders' interests in that requirement. For a given stakeholder, CSES accounts for the variance that may exist among the stakes one attaches to meeting each requirement.« less

  17. Cyberspace Security Econometrics System (CSES)

    SciTech Connect

    2012-07-27

    Information security continues to evolve in response to disruptive changes with a persistent focus on information-centric controls and a healthy debate about balancing endpoint and network protection, with a goal of improved enterprise/business risk management. Economic uncertainty, intensively collaborative styles of work, virtualization, increased outsourcing and ongoing complance pressures require careful consideration and adaption. The CSES provides a measure (i.e. a quantitative indication) of reliability, performance, and/or safety of a system that accounts for the criticality of each requirement as a function of one or more stakeholders' interests in that requirement. For a given stakeholder, CSES accounts for the variance that may exist among the stakes one attaches to meeting each requirement.

  18. Manpower Projections to 1980. Econometric Study.

    ERIC Educational Resources Information Center

    Kubota, Gordon H.; Tsukahara, Theodore, Jr.

    The objective of this study was to develop an economic approach to the forecasting of allied health manpower in markets in the State of California. The health manpower categories considered included: (1) Medical technology, (2) occupational therapy, (3) dietetic and nutritional services, (4) physical therapy, (5) health administration, (6)…

  19. Educational Attainment and Resource Use: Mystery or Econometric Misspecification?

    ERIC Educational Resources Information Center

    Mayston, David J.

    1996-01-01

    Explores whether observed levels of educational attainment and expenditure per student are endogenously determined by schools' optimizing behavior in resource-allocation decisions, considering both supply- and demand-side factors. This process can generate patterns of expenditure per student in line with empirical findings. Difficulties with…

  20. Hydrogen production econometric studies. [hydrogen and fossil fuels

    NASA Technical Reports Server (NTRS)

    Howell, J. R.; Bannerot, R. B.

    1975-01-01

    The current assessments of fossil fuel resources in the United States were examined, and predictions of the maximum and minimum lifetimes of recoverable resources according to these assessments are presented. In addition, current rates of production in quads/year for the fossil fuels were determined from the literature. Where possible, costs of energy, location of reserves, and remaining time before these reserves are exhausted are given. Limitations that appear to hinder complete development of each energy source are outlined.

  1. R&D and Productivity: Measurement Issues and Econometric Results.

    ERIC Educational Resources Information Center

    Griliches, Zvi

    1987-01-01

    Discusses the relationship and contributions of research and development (R&D) to productivity growth in the United States. Focuses on the impacts of industrial R&D and presents study results on trends in productivity. (ML)

  2. Econometric estimation of country-specific hospital costs.

    PubMed

    Adam, Taghreed; Evans, David B; Murray, Christopher JL

    2003-02-26

    Information on the unit cost of inpatient and outpatient care is an essential element for costing, budgeting and economic-evaluation exercises. Many countries lack reliable estimates, however. WHO has recently undertaken an extensive effort to collect and collate data on the unit cost of hospitals and health centres from as many countries as possible; so far, data have been assembled from 49 countries, for various years during the period 1973-2000. The database covers a total of 2173 country-years of observations. Large gaps remain, however, particularly for developing countries. Although the long-term solution is that all countries perform their own costing studies, the question arises whether it is possible to predict unit costs for different countries in a standardized way for short-term use. The purpose of the work described in this paper, a modelling exercise, was to use the data collected across countries to predict unit costs in countries for which data are not yet available, with the appropriate uncertainty intervals.The model presented here forms part of a series of models used to estimate unit costs for the WHO-CHOICE project. The methods and the results of the model, however, may be used to predict a number of different types of country-specific unit costs, depending on the purpose of the exercise. They may be used, for instance, to estimate the costs per bed-day at different capacity levels; the "hotel" component of cost per bed-day; or unit costs net of particular components such as drugs.In addition to reporting estimates for selected countries, the paper shows that unit costs of hospitals vary within countries, sometimes by an order of magnitude. Basing cost-effectiveness studies or budgeting exercises on the results of a study of a single facility, or even a small group of facilities, is likely to be misleading. PMID:12773218

  3. Econometric estimation of country-specific hospital costs

    PubMed Central

    Adam, Taghreed; Evans, David B; Murray, Christopher JL

    2003-01-01

    Information on the unit cost of inpatient and outpatient care is an essential element for costing, budgeting and economic-evaluation exercises. Many countries lack reliable estimates, however. WHO has recently undertaken an extensive effort to collect and collate data on the unit cost of hospitals and health centres from as many countries as possible; so far, data have been assembled from 49 countries, for various years during the period 1973–2000. The database covers a total of 2173 country-years of observations. Large gaps remain, however, particularly for developing countries. Although the long-term solution is that all countries perform their own costing studies, the question arises whether it is possible to predict unit costs for different countries in a standardized way for short-term use. The purpose of the work described in this paper, a modelling exercise, was to use the data collected across countries to predict unit costs in countries for which data are not yet available, with the appropriate uncertainty intervals. The model presented here forms part of a series of models used to estimate unit costs for the WHO-CHOICE project. The methods and the results of the model, however, may be used to predict a number of different types of country-specific unit costs, depending on the purpose of the exercise. They may be used, for instance, to estimate the costs per bed-day at different capacity levels; the "hotel" component of cost per bed-day; or unit costs net of particular components such as drugs. In addition to reporting estimates for selected countries, the paper shows that unit costs of hospitals vary within countries, sometimes by an order of magnitude. Basing cost-effectiveness studies or budgeting exercises on the results of a study of a single facility, or even a small group of facilities, is likely to be misleading. PMID:12773218

  4. Cost savings from nuclear regulatory reform: An econometric model

    SciTech Connect

    Canterbery, E.R. |; Johnson, B.; Reading, D.

    1996-01-01

    The nuclear-generated power touted in the 1950s as someday being {open_quotes}too cheap to meter{close_quotes} got dismissed in the 1980s as incapable of being both safe and cost effective. Today, less than 20 percent of American`s electricity is nuclear-generated, no new plants are planned or on order, and some of the earliest units are scheduled for decommissioning within the next decade. Even so, interest in nuclear power has been revived by increasing energy demands, concerns about global warming, and the uncertainty surrounding oil resources in the Persian Gulf. As a long-term alternative to fossil fuels, atomic energy offers the important advantages of clean air and domestic availability of fuel. But these advantages will count for little unless and until the costs of nuclear power can be seen as reasonable. The authors premise is that the relevant costs are those of providing safe and environmentally clean electric energy. To the extent that increased costs have resulted from increasingly stringent regulations, they reflect the internalization of external costs. Indeed, the external costs of nuclear power (particularly safety and environmental protection) have been internalized to a greater degree than with most alternative fuel sources used by electric utilities. Nuclear construction costs are properly compared with those of alternative sources only after the latter are adjusted for environmental damage and endangerment, including, as examples, the costs of oil spills, of building double-hulled tankers, and of building off-shore offloading facilities. A shift to nuclear sources could reduce these costs whereas it would increase disposal costs for radioactive materials. The authors contend that a better understanding of nuclear plant construction costs is pivotal to a balanced evaluation of the merits of uranium relative to other fuel choices. 12 refs., 2 figs., 5 tabs.

  5. Estimating water-quality benefits: an econometric analysis

    SciTech Connect

    Smith, V.K.; Desvousges, W.H.; McGivney, M.P.

    1983-10-01

    This paper presents a generalized demand model for recreation sites that permits an evaluation of the recreation benefits associated with changes in the water-quality designations assigned to specific sites. This approach to modeling recreation demand may have important implications for the implementation of the Environmental Protection Agency's (EPA's) proposed changes in water quality regulations. 35 references, 1 figure, 3 tables.

  6. Essays on the economics and econometrics of human capital

    NASA Astrophysics Data System (ADS)

    Mosso, Stefano

    This thesis is composed by three distinct chapters. They are related by their common theme: the economic analysis of the process of human capital formation. The first chapter distills and extends the recent research on the economics of human development and social mobility. It critically analyzes the literature on the role of early life conditions in shaping multiple life skills with emphasis on the importance of critical and sensitive investments periods in influencing skill development. It develops economic models that rationalize the empirical evidence on treatment effects of social programs and on family influence. It investigates the empirical support of recent claims, made by part of the literature, on the relevance of credit constraints in limiting skill development. It shows how credit constraints are not a major force explaining differences in the amount of parental and self-investments in skills and how untargeted income transfer policies to poor families do not significantly boost child outcomes. The second chapter compares the performance of maximum likelihood and simulated methods of moments in estimating dynamic discrete choice models. It presents a structural model of education and shows how it can be used to estimate heterogeneous returns from schooling choices which account for their continuation values. Continuation values have a large impact on returns, but are ignored in the measures commonly used to assess the value of schooling choices. The estimates from the model are used to compute a synthetic dataset. This is used to assess the ability of maximum likelihood and simulated methods of moments to recover the model parameters. It finally proposes a Monte Carlo exercise to gain confidence on the performance of a simulated method of moments algorithm. The last chapter proposes a method to assess long run impacts on earnings of early interventions even in absence of long-term data collection on earnings histories for program participants. It combines the methodological approaches of the literature on program evaluation, data combination and forecasting to develop estimators of the average treatment effects. This exercise allows a more complete cost-benefit evaluation of social programs accounting for benefits over the whole life cycle.

  7. The Econometric Analysis of Tomato Production with contracting in Turkey

    NASA Astrophysics Data System (ADS)

    Gunes, Erdogan

    Turkey is the largest grower of processing tomatoes in the world after the US, Italy, China and Spain. Growing tomatoes for sauce is one of the two major uses of contract farming in Turkey and this activity involves arrangements between private sauce companies and farms. This practice is now wide spread since the 1970s, especially in the Marmara Region. Before the production season begins, sauce industry firms sign contracts with farms that guarantee the quality and quantity of their raw material and guarantee the growers sales at predetermined prices. In addition, plants served to farmers for more productivity by techniques such as drop irrigation and also their extension services and field demonstrations at this region. This research is based on interviews with 100 farms that growing tomatoes for sauce factories in Bursa province to determine relationships between plants and farms and factors affecting tomato cultivation land. At this research, farms were divided to two groups based on tomatoes cultivation land. It was found that plants had highly effective on tomatoes land by means of input and supports on finance to the farms with logarithmic models.

  8. Econometric and Statistical Bases for the Non-Econometrician

    ERIC Educational Resources Information Center

    Tyzenhouse, Joanne

    1978-01-01

    An overview is provided for librarians of the types of statistical or numeric data bases offered by Data Resources, Inc., General Electric Information Division, Predicasts, and Interactive Data Corporation. Tables list the types of data or statistical information available from each. (JPF)

  9. Optimal Allocation of Resources in Urban Education: An Econometric Approach. Final Report.

    ERIC Educational Resources Information Center

    Parti, Michael; Adelman, Irma

    This study identifies the policy variables that are effective in increasing student verbal achievement in urban grammar schools and high schools, and estimates the impact of these variables upon verbal achievement, expected years of education completed by a typical student, and expected lifetime earnings of a typical student. A theoretical model…

  10. The impacts of surface ozone pollution on winter wheat productivity in China--An econometric approach.

    PubMed

    Yi, Fujin; Jiang, Fei; Zhong, Funing; Zhou, Xun; Ding, Aijun

    2016-01-01

    The impact of surface ozone pollution on winter wheat yield is empirically estimated by considering socio-economic and weather determinants. This research is the first to use an economic framework to estimate the ozone impact, and a unique county-level panel is employed to examine the impact of the increasing surface ozone concentration on the productivity of winter wheat in China. In general, the increment of surface ozone concentration during the ozone-sensitive period of winter wheat is determined to be harmful to its yield, and a conservative reduction of ozone pollution could significantly increase China's wheat supply.

  11. Nonparametric model validations for hidden Markov models with applications in financial econometrics

    PubMed Central

    Zhao, Zhibiao

    2011-01-01

    We address the nonparametric model validation problem for hidden Markov models with partially observable variables and hidden states. We achieve this goal by constructing a nonparametric simultaneous confidence envelope for transition density function of the observable variables and checking whether the parametric density estimate is contained within such an envelope. Our specification test procedure is motivated by a functional connection between the transition density of the observable variables and the Markov transition kernel of the hidden states. Our approach is applicable for continuous time diffusion models, stochastic volatility models, nonlinear time series models, and models with market microstructure noise. PMID:21750601

  12. Nutrient-dense food groups have high energy costs: an econometric approach to nutrient profiling.

    PubMed

    Maillot, Matthieu; Darmon, Nicole; Darmon, Michel; Lafay, Lionel; Drewnowski, Adam

    2007-07-01

    Consumers wishing to replace some of the foods in their diets with more nutrient-dense options need to be able to identify such foods on the basis of nutrient profiling. The present study used nutrient profiling to rank 7 major food groups and 25 subgroups in terms of their contribution to dietary energy, diet quality, and diet cost for 1332 adult participants in the French National INCA1 Study. Nutrient profiles were based on the presence of 23 qualifying nutrients, expressed as the percentage of nutrient adequacy per 8 MJ, and 3 negative or disqualifying nutrients, expressed as the percentage of the maximal recommended values for saturated fatty acids, added sugar, and sodium per 1.4 kg. Calculated cost of energy (euro/8 MJ) was based on the mean retail price of 619 foods in the nutrient composition database. The meat and the fruit and vegetables food groups had the highest nutritional quality but were associated with highest energy costs. Sweets and salted snacks had the lowest nutritional quality but were also one of the least expensive sources of dietary energy. Starches and grains were unique because they were low in disqualifying nutrients yet provided low-cost dietary energy. Within each major food group, some subgroups had a higher nutritient-to-price ratio than others. However, the fact that food groups with the more favorable nutrient profiles were also associated with higher energy costs suggests that the present structure of food prices may be a barrier to the adoption of food-based dietary guidelines, at least by low-income households.

  13. An Econometric Model of the Scholastic Aptitude Test Performance of State Educational Systems.

    ERIC Educational Resources Information Center

    Hashway, Robert M.; And Others

    1991-01-01

    Nationwide data were partitioned into wealth, fiscal policy, fiscal orientation, and Scholastic Aptitude Test (SAT) performance and participation. Largest between-group differences show that low SAT achieving states have a larger percentage of seniors taking the SAT, along with higher per capita income, per pupil expenditures, and teacher…

  14. SPATIAL STATISTICS AND ECONOMETRICS FOR MODELS IN FISHERIES ECONOMICS. (R828012)

    EPA Science Inventory

    The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Concl...

  15. The effect of neighbourhood mortality shocks on fertility preferences: a spatial econometric approach.

    PubMed

    Owoo, Nkechi S; Agyei-Mensah, Samuel; Onuoha, Emily

    2015-07-01

    According to the demographic transition theory, fertility rates fall in response to declines in child mortality rates. Although national statistics indicate that child mortality rates have been declining over time, Ghana's fertility rates appear to have stalled. This paper hypothesises that women's fertility behaviours may be more responsive to child mortality experiences at more localised levels. Using all rounds of the Ghana Demographic and Health Surveys (1988-2008) and employing a variety of spatial and empirical estimation techniques, results indicate that in addition to own-child mortality, neighbourhood child mortality shocks are also a determinant of women's fertility in Ghana. Women in neighbourhoods with large child mortality shocks may desire more children as an "insurance" against future losses, as a result of their increased perceptions of own-child mortality risks.

  16. The Determinants of Library Subscription Prices of the Top-Ranked Economics Journals: An Econometric Analysis.

    ERIC Educational Resources Information Center

    Chressanthis, George A.; Chressanthis, June D.

    1994-01-01

    Asserts that subscription price increases for academic journals have been the area of single greatest concern to librarians during the past decade. Finds that systematic variations in library prices across economics journals offer explainable reasons. (CFR)

  17. Measuring the Impact of Financial Intermediation: Linking Contract Theory to Econometric Policy Evaluation *

    PubMed Central

    Townsend, Robert M.; Urzua, Sergio S.

    2010-01-01

    We study the impact that financial intermediation can have on productivity through the alleviation of credit constraints in occupation choice and/or an improved allocation of risk, using both static and dynamic structural models as well as reduced form OLS and IV regressions. Our goal in this paper is to bring these two strands of the literature together. Even though, under certain assumptions, IV regressions can recover accurately the true model-generated local average treatment effect, these are quantitatively different, in order of magnitude and even sign, from other policy impact parameters (e.g., ATE and TT). We also show that laying out clearly alternative models can guide the search for instruments. On the other hand adding more margins of decision, i.e., occupation choice and intermediation jointly, or adding more periods with promised utilities as key state variables, as in optimal multi-period contracts, can cause the misinterpretation of IV as the causal effect of interest. PMID:20436953

  18. Econometric model of gasoline consumption, vehicle miles traveled, and new car purchases

    SciTech Connect

    Springer, R.K.; Resek, R.W.

    1981-01-01

    Continuing concern over fuel shortages and emphasis on smaller, more-efficient automobiles have led to studies relating automobile usage to gasoline consumption. This paper provides meaningful aggregates for automobile characteristics and emphasizes five different classes of cars in the estimation, using a time series of cross-sectional data. The effects of changing patterns in automobile ownership on total vehicle miles traveled and on gasoline consumption are modeled explicitly. In estimating equations for new-car demand, not only economic variables such as income and automobile price are considered but also the effects of changing gasoline prices and vehicle miles traveled. This analysis also enables one to trace the behavior of consumers' preferences for changes in the size of new cars. An important link in the model relates the vehicle miles and gasoline-consumption variables, and specific interest is given to gasoline price elasticities. 15 references.

  19. An Econometric Study of Public School Expenditure Variations Across States, 1951-1967.

    ERIC Educational Resources Information Center

    Barro, Stephen M.

    Nine sets of annual data on State school finances are used to test a theory of expenditure determination by public school districts. The results support implications of the theory regarding effects of personal income, State and federal aid, the relative price of education, the pupil/population ratio, and enrollment growth on per pupil spending. A…

  20. Computational models of consumer confidence from large-scale online attention data: crowd-sourcing econometrics.

    PubMed

    Dong, Xianlei; Bollen, Johan

    2015-01-01

    Economies are instances of complex socio-technical systems that are shaped by the interactions of large numbers of individuals. The individual behavior and decision-making of consumer agents is determined by complex psychological dynamics that include their own assessment of present and future economic conditions as well as those of others, potentially leading to feedback loops that affect the macroscopic state of the economic system. We propose that the large-scale interactions of a nation's citizens with its online resources can reveal the complex dynamics of their collective psychology, including their assessment of future system states. Here we introduce a behavioral index of Chinese Consumer Confidence (C3I) that computationally relates large-scale online search behavior recorded by Google Trends data to the macroscopic variable of consumer confidence. Our results indicate that such computational indices may reveal the components and complex dynamics of consumer psychology as a collective socio-economic phenomenon, potentially leading to improved and more refined economic forecasting.

  1. Computational models of consumer confidence from large-scale online attention data: crowd-sourcing econometrics.

    PubMed

    Dong, Xianlei; Bollen, Johan

    2015-01-01

    Economies are instances of complex socio-technical systems that are shaped by the interactions of large numbers of individuals. The individual behavior and decision-making of consumer agents is determined by complex psychological dynamics that include their own assessment of present and future economic conditions as well as those of others, potentially leading to feedback loops that affect the macroscopic state of the economic system. We propose that the large-scale interactions of a nation's citizens with its online resources can reveal the complex dynamics of their collective psychology, including their assessment of future system states. Here we introduce a behavioral index of Chinese Consumer Confidence (C3I) that computationally relates large-scale online search behavior recorded by Google Trends data to the macroscopic variable of consumer confidence. Our results indicate that such computational indices may reveal the components and complex dynamics of consumer psychology as a collective socio-economic phenomenon, potentially leading to improved and more refined economic forecasting. PMID:25826692

  2. Measuring the Efficiency of a Hospital based on the Econometric Stochastic Frontier Analysis (SFA) Method

    PubMed Central

    Rezaei, Satar; Zandian, Hamed; Baniasadi, Akram; Moghadam, Telma Zahirian; Delavari, Somayeh; Delavari, Sajad

    2016-01-01

    Introduction Hospitals are the most expensive health services provider in the world. Therefore, the evaluation of their performance can be used to reduce costs. The aim of this study was to determine the efficiency of the hospitals at the Kurdistan University of Medical Sciences using stochastic frontier analysis (SFA). Methods This was a cross-sectional and retrospective study that assessed the performance of Kurdistan teaching hospitals (n = 12) between 2007 and 2013. The Stochastic Frontier Analysis method was used to achieve this aim. The numbers of active beds, nurses, physicians, and other staff members were considered as input variables, while the inpatient admission was considered as the output. The data were analyzed using Frontier 4.1 software. Results The mean technical efficiency of the hospitals we studied was 0.67. The results of the Cobb-Douglas production function showed that the maximum elasticity was related to the active beds and the elasticity of nurses was negative. Also, the return to scale was increasing. Conclusion The results of this study indicated that the performances of the hospitals were not appropriate in terms of technical efficiency. In addition, there was a capacity enhancement of the output of the hospitals, compared with the most efficient hospitals studied, of about33%. It is suggested that the effect of various factors, such as the quality of health care and the patients’ satisfaction, be considered in the future studies to assess hospitals’ performances. PMID:27054014

  3. Computational Models of Consumer Confidence from Large-Scale Online Attention Data: Crowd-Sourcing Econometrics

    PubMed Central

    2015-01-01

    Economies are instances of complex socio-technical systems that are shaped by the interactions of large numbers of individuals. The individual behavior and decision-making of consumer agents is determined by complex psychological dynamics that include their own assessment of present and future economic conditions as well as those of others, potentially leading to feedback loops that affect the macroscopic state of the economic system. We propose that the large-scale interactions of a nation's citizens with its online resources can reveal the complex dynamics of their collective psychology, including their assessment of future system states. Here we introduce a behavioral index of Chinese Consumer Confidence (C3I) that computationally relates large-scale online search behavior recorded by Google Trends data to the macroscopic variable of consumer confidence. Our results indicate that such computational indices may reveal the components and complex dynamics of consumer psychology as a collective socio-economic phenomenon, potentially leading to improved and more refined economic forecasting. PMID:25826692

  4. Disentangling the influence of cell phone usage in the dilemma zone: An econometric approach.

    PubMed

    Eluru, Naveen; Yasmin, Shamsunnahar

    2016-11-01

    This paper focuses on developing an analysis framework to study the impact of cell phone treatment (cell phone type and call status) on driver behavior in the presence of a dilemma zone. Specifically, we examine how the treatment influences the driver maneuver decision at the intersection (stop or cross) and the eventual success of the maneuver. For a stop maneuver, success is defined as stopping before the stop line. Similarly, for a cross maneuver, success is defined as clearing the intersection safely before the light turns red. The eventual success or failure of the driver's decision process is dependent on the factors that affected the maneuver decision. Hence it is important to recognize the interconnectedness of the stop or cross decision with its eventual success (or failure). Toward this end, we formulate and estimate a joint framework to analyze the stop/cross decision with its eventual success (or failure) simultaneously. The study is conducted based on driving simulator data provided online for the 2014 Transportation Research Board Data Contest at http://depts.washington.edu/hfsm/upload.php. The model is estimated to analyze drivers' behavior at the onset of yellow by employing exogenous variables from three broad categories: driver characteristics, cell phone attributes and driving attributes. We also generate probability surfaces to identify dilemma zone distribution associated with different cell phone treatment types. The plots clearly illustrate the impact of various cellphone treatments on driver dilemma zone behavior.

  5. An econometric model of the U.S. secondary copper industry: Recycling versus disposal

    USGS Publications Warehouse

    Slade, M.E.

    1980-01-01

    In this paper, a theoretical model of secondary recovery is developed that integrates microeconomic theories of production and cost with a dynamic model of scrap generation and accumulation. The model equations are estimated for the U.S. secondary copper industry and used to assess the impacts that various policies and future events have on copper recycling rates. The alternatives considered are: subsidies for secondary production, differing energy costs, and varying ore quality in primary production. ?? 1990.

  6. The Changing Role of State Appropriations for Higher Education: An Econometric Analysis from 1985-2008

    ERIC Educational Resources Information Center

    Mushrush, Christopher E.

    2013-01-01

    Traditionally, public funding of higher education has been viewed as cyclical, where support falls during times of economic downturn and then recovers as the economy improves. This view, however, is being challenged as budgetary shortfalls are becoming more common for states, even in times of economic growth, due to structural constraints. Using…

  7. An Econometric Examination of the Behavioral Perspective Model in the Context of Norwegian Retailing

    ERIC Educational Resources Information Center

    Sigurdsson, Valdimar; Kahamseh, Saeed; Gunnarsson, Didrik; Larsen, Nils Magne; Foxall, Gordon R.

    2013-01-01

    The behavioral perspective model's (BPM; Foxall, 1990) retailing literature is built on extensive empirical research and techniques that were originally refined in choice experiments in behavioral economics and behavior analysis, and then tested mostly on British consumer panel data. We test the BPM in the context of Norwegian retailing. This…

  8. Solicitation and Donation: An Econometric Evaluation of Alumni Generosity in Higher Education

    ERIC Educational Resources Information Center

    Gottfried, Michael A.; Johnson, Erica L.

    2006-01-01

    This paper evaluates the relationship between alumni solicitation and alumni donation within institutions of higher education. The issue of alumni giving is important for universities because the average cost of university tuition has increased dramatically over the past 20 years at an annual growth rate larger than the United States CPI (Harvard…

  9. Econometric Models of Education, Some Applications. Education and Development, Technical Reports.

    ERIC Educational Resources Information Center

    Tinbergen, Jan; And Others

    This report contains five papers which describe mathematical models of the educational system as it relates to economic growth. Experimental applications of the models to particular educational systems are discussed. Three papers, by L. J. Emmerij, J. Blum, and G. Williams, discuss planning models for the calculation of educational requirements…

  10. Measuring ICT Use and Learning Outcomes: Evidence from Recent Econometric Studies

    ERIC Educational Resources Information Center

    Biagi, Federico; Loi, Massimo

    2013-01-01

    Based on PISA 2009 data, this article studies the relationship between students' computer use and their achievement in reading, mathematics and science in 23 countries. After having categorised computer use into a set of different activities according to the skills they involve, we correlate students' PISA test-scores with an index capturing the…

  11. Housing land transaction data and structural econometric estimation of preference parameters for urban economic simulation models

    PubMed Central

    Caruso, Geoffrey; Cavailhès, Jean; Peeters, Dominique; Thomas, Isabelle; Frankhauser, Pierre; Vuidel, Gilles

    2015-01-01

    This paper describes a dataset of 6284 land transactions prices and plot surfaces in 3 medium-sized cities in France (Besançon, Dijon and Brest). The dataset includes road accessibility as obtained from a minimization algorithm, and the amount of green space available to households in the neighborhood of the transactions, as evaluated from a land cover dataset. Further to the data presentation, the paper describes how these variables can be used to estimate the non-observable parameters of a residential choice function explicitly derived from a microeconomic model. The estimates are used by Caruso et al. (2015) to run a calibrated microeconomic urban growth simulation model where households are assumed to trade-off accessibility and local green space amenities. PMID:26958606

  12. An econometric analysis of the effects of the penalty points system driver's license in Spain.

    PubMed

    Castillo-Manzano, José I; Castro-Nuño, Mercedes; Pedregal, Diego J

    2010-07-01

    This article seeks to quantify the effects of the penalty points system driver's license during the 18-month period following its coming into force. This is achieved by means of univariate and multivariate unobserved component models set up in a state space framework estimated using maximum likelihood. A detailed intervention analysis is carried out in order to test for the effects and their duration of the introduction of the penalty points system driver's license in Spain. Other variables, mainly indicators of the level of economic activity in Spain, are also considered. Among the main effects, we can mention an average reduction of almost 12.6% in the number of deaths in highway accidents. It would take at least 2 years for that effect to disappear. For the rest of the safety indicator variables (vehicle occupants injured in highway accidents and vehicle occupants injured in accidents built-up areas) the effects disappeared 1 year after the law coming into force.

  13. The Missing Link: An Econometric Analysis on the Impact of Curriculum Standards on Student Achievement.

    ERIC Educational Resources Information Center

    Alexander, Nicola A.

    2000-01-01

    Uses data collected by the New York State Department of Education to examine effects of curriculum standards on student achievement (via estimation of a one-way fixed-effects model of the education-production function). Findings suggest that curriculum standards can improve student performance; they do little to improve equity. (Contains 23…

  14. Non-equilibrium thermodynamics theory of econometric source discovery for large data analysis

    NASA Astrophysics Data System (ADS)

    van Bergem, Rutger; Jenkins, Jeffrey; Benachenhou, Dalila; Szu, Harold

    2014-05-01

    Almost all consumer and firm transactions are achieved using computers and as a result gives rise to increasingly large amounts of data available for analysts. The gold standard in Economic data manipulation techniques matured during a period of limited data access, and the new Large Data Analysis (LDA) paradigm we all face may quickly obfuscate most tools used by Economists. When coupled with an increased availability of numerous unstructured, multi-modal data sets, the impending 'data tsunami' could have serious detrimental effects for Economic forecasting, analysis, and research in general. Given this reality we propose a decision-aid framework for Augmented-LDA (A-LDA) - a synergistic approach to LDA which combines traditional supervised, rule-based Machine Learning (ML) strategies to iteratively uncover hidden sources in large data, the artificial neural network (ANN) Unsupervised Learning (USL) at the minimum Helmholtz free energy for isothermal dynamic equilibrium strategies, and the Economic intuitions required to handle problems encountered when interpreting large amounts of Financial or Economic data. To make the ANN USL framework applicable to economics we define the temperature, entropy, and energy concepts in Economics from non-equilibrium molecular thermodynamics of Boltzmann viewpoint, as well as defining an information geometry, on which the ANN can operate using USL to reduce information saturation. An exemplar of such a system representation is given for firm industry equilibrium. We demonstrate the traditional ML methodology in the economics context and leverage firm financial data to explore a frontier concept known as behavioral heterogeneity. Behavioral heterogeneity on the firm level can be imagined as a firm's interactions with different types of Economic entities over time. These interactions could impose varying degrees of institutional constraints on a firm's business behavior. We specifically look at behavioral heterogeneity for firms that are operating with the label of `Going-Concern' and firms labeled according to institutional influence they may be experiencing, such as constraints on firm hiring/spending while in a Bankruptcy or a Merger procedure. Uncovering invariant features, or behavioral data metrics from observable firm data in an economy can greatly benefit the FED, World Bank, etc. We find that the ML/LDA communities can benefit from Economic intuitions just as much as Economists can benefit from generic data exploration tools. The future of successful Economic data understanding, modeling, simulation, and visualization can be amplified by new A-LDA models and approaches for new and analogous models of Economic system dynamics. The potential benefits of improved economic data analysis and real time decision aid tools are numerous for researchers, analysts, and federal agencies who all deal with increasingly large amounts of complex data to support their decision making.

  15. Estimates of price and income elasticity in Greece. Greek debt crisis transforming cigarettes into a luxury good: an econometric approach

    PubMed Central

    Tarantilis, Filippos; Athanasakis, Kostas; Zavras, Dimitris; Vozikis, Athanassios; Kyriopoulos, Ioannis

    2015-01-01

    Objective During the past decades, smoking prevalence in Greece was estimated to be near or over 40%. Following a sharp fall in cigarette consumption, as shown in current data, our objective is to assess smokers’ sensitivity to cigarette price and consumer income changes as well as to project health benefits of an additional tax increase. Methods Cigarette consumption was considered as the dependent variable, with Weighted Average Price as a proxy for cigarette price, gross domestic product as a proxy for consumers’ income and dummy variables reflecting smoking restrictions and antismoking campaigns. Values were computed to natural logarithms and regression was performed. Then, four scenarios of tax increase were distinguished in order to calculate potential health benefits. Results Short-run price elasticity is estimated at −0.441 and short-run income elasticity is estimated at 1.040. Antismoking campaigns were found to have a statistically significant impact on consumption. Results indicate that, depending on the level of tax increase, annual per capita consumption could fall by at least 209.83 cigarettes; tax revenue could rise by more than €0.74 billion, while smokers could be reduced by up to 530 568 and at least 465 smoking-related deaths could be averted. Conclusions Price elasticity estimates are similar to previous studies in Greece, while income elasticity estimates are far greater. With cigarettes regarded as a luxury good, a great opportunity is presented for decisionmakers to counter smoking. Increased taxation, along with focused antismoking campaigns, law reinforcement (to ensure compliance with smoking bans) and intensive control for smuggling could invoke a massive blow to the tobacco epidemic in Greece. PMID:25564137

  16. The 'bankability' of the new waste technologies: an econometric method for risk sharing in private finance waste contracts.

    PubMed

    Black, I; Seaton, R; Chackiath, S; Wagland, S T; Pollard, S J T; Longhurst, P J

    2011-12-01

    The identification of risk and its appropriate allocation to partners in project consortia is essential for minimizing overall project risks, ensuring timely delivery and maximizing benefit for money invested. Risk management guidance available from government bodies, especially in the UK, does not specify methodologies for quantitative risk assessment, nor does it offer a procedure for allocating risk among project partners. Here, a methodology to quantify project risk and potential approaches to allocating risk and their implications are discussed. Construction and operation of a waste management facility through a public-private finance contract are discussed. Public-private partnership contracts are special purpose vehicle (SPV) financing methods promoted by the UK government to boost private sector investment in facilities for public service enhancement. Our findings question the appropriateness of using standard deviation as a measure for project risk and confirm the concept of portfolio theory, suggesting the pooling of risk can reduce total risk and its impact. PMID:22439555

  17. Alternative approaches for econometric analysis of panel count data using dynamic latent class models (with application to doctor visits data).

    PubMed

    Hyppolite, Judex; Trivedi, Pravin

    2012-06-01

    Cross-sectional latent class regression models, also known as switching regressions or hidden Markov models, cannot identify transitions between classes that may occur over time. This limitation can potentially be overcome when panel data are available. For such data, we develop a sequence of models that combine features of the static cross-sectional latent class (finite mixture) models with those of hidden Markov models. We model the probability of movement between categories in terms of a Markovian structure, which links the current state with a previous state, where state may refer to the category of an individual. This article presents a suite of mixture models of varying degree of complexity and flexibility for use in a panel count data setting, beginning with a baseline model which is a two-component mixture of Poisson distribution in which latent classes are fixed and permanent. Sequentially, we extend this framework (i) to allow the mixing proportions to be smoothly varying continuous functions of time-varying covariates, (ii) to add time dependence to the benchmark model by modeling the class-indicator variable as a first-order Markov chain and (iii) to extend item (i) by making it dynamic and introducing covariate dependence in the transition probabilities. We develop and implement estimation algorithms for these models and provide an empirical illustration using 1995-1999 panel data on the number of doctor visits derived from the German Socio-Economic Panel. PMID:22556003

  18. Healthcare Costs Associated with an Adequate Intake of Sugars, Salt and Saturated Fat in Germany: A Health Econometrical Analysis

    PubMed Central

    Meier, Toni; Senftleben, Karolin; Deumelandt, Peter; Christen, Olaf; Riedel, Katja; Langer, Martin

    2015-01-01

    Non-communicable diseases (NCDs) represent not only the major driver for quality-restricted and lost life years; NCDs and their related medical treatment costs also pose a substantial economic burden on healthcare and intra-generational tax distribution systems. The main objective of this study was therefore to quantify the economic burden of unbalanced nutrition in Germany—in particular the effects of an excessive consumption of fat, salt and sugar—and to examine different reduction scenarios on this basis. In this study, the avoidable direct cost savings in the German healthcare system attributable to an adequate intake of saturated fatty acids (SFA), salt and sugar (mono- & disaccharides, MDS) were calculated. To this end, disease-specific healthcare cost data from the official Federal Health Monitoring for the years 2002–2008 and disease-related risk factors, obtained by thoroughly searching the literature, were used. A total of 22 clinical endpoints with 48 risk-outcome pairs were considered. Direct healthcare costs attributable to an unbalanced intake of fat, salt and sugar are calculated to be 16.8 billion EUR (CI95%: 6.3–24.1 billion EUR) in the year 2008, which represents 7% (CI95% 2%-10%) of the total treatment costs in Germany (254 billion EUR). This is equal to 205 EUR per person annually. The excessive consumption of sugar poses the highest burden, at 8.6 billion EUR (CI95%: 3.0–12.1); salt ranks 2nd at 5.3 billion EUR (CI95%: 3.2–7.3) and saturated fat ranks 3rd at 2.9 billion EUR (CI95%: 32 million—4.7 billion). Predicted direct healthcare cost savings by means of a balanced intake of sugars, salt and saturated fat are substantial. However, as this study solely considered direct medical treatment costs regarding an adequate consumption of fat, salt and sugars, the actual societal and economic gains, resulting both from direct and indirect cost savings, may easily exceed 16.8 billion EUR. PMID:26352606

  19. Healthcare Costs Associated with an Adequate Intake of Sugars, Salt and Saturated Fat in Germany: A Health Econometrical Analysis.

    PubMed

    Meier, Toni; Senftleben, Karolin; Deumelandt, Peter; Christen, Olaf; Riedel, Katja; Langer, Martin

    2015-01-01

    Non-communicable diseases (NCDs) represent not only the major driver for quality-restricted and lost life years; NCDs and their related medical treatment costs also pose a substantial economic burden on healthcare and intra-generational tax distribution systems. The main objective of this study was therefore to quantify the economic burden of unbalanced nutrition in Germany--in particular the effects of an excessive consumption of fat, salt and sugar--and to examine different reduction scenarios on this basis. In this study, the avoidable direct cost savings in the German healthcare system attributable to an adequate intake of saturated fatty acids (SFA), salt and sugar (mono- & disaccharides, MDS) were calculated. To this end, disease-specific healthcare cost data from the official Federal Health Monitoring for the years 2002-2008 and disease-related risk factors, obtained by thoroughly searching the literature, were used. A total of 22 clinical endpoints with 48 risk-outcome pairs were considered. Direct healthcare costs attributable to an unbalanced intake of fat, salt and sugar are calculated to be 16.8 billion EUR (CI95%: 6.3-24.1 billion EUR) in the year 2008, which represents 7% (CI95% 2%-10%) of the total treatment costs in Germany (254 billion EUR). This is equal to 205 EUR per person annually. The excessive consumption of sugar poses the highest burden, at 8.6 billion EUR (CI95%: 3.0-12.1); salt ranks 2nd at 5.3 billion EUR (CI95%: 3.2-7.3) and saturated fat ranks 3rd at 2.9 billion EUR (CI95%: 32 million-4.7 billion). Predicted direct healthcare cost savings by means of a balanced intake of sugars, salt and saturated fat are substantial. However, as this study solely considered direct medical treatment costs regarding an adequate consumption of fat, salt and sugars, the actual societal and economic gains, resulting both from direct and indirect cost savings, may easily exceed 16.8 billion EUR.

  20. Advances in nonmarket valuation econometrics: Spatial heterogeneity in hedonic pricing models and preference heterogeneity in stated preference models

    NASA Astrophysics Data System (ADS)

    Yoo, Jin Woo

    In my 1st essay, the study explores Pennsylvania residents. willingness to pay for development of renewable energy technologies such as solar power, wind power, biomass electricity, and other renewable energy using a choice experiment method. Principle component analysis identified 3 independent attitude components that affect the variation of preference, a desire for renewable energy and environmental quality and concern over cost. The results show that urban residents have a higher desire for environmental quality and concern less about cost than rural residents and consequently have a higher willingness to pay to increase renewable energy production. The results of sub-sample analysis show that a representative respondent in rural (urban) Pennsylvania is willing to pay 3.8(5.9) and 4.1(5.7)/month for increasing the share of Pennsylvania electricity generated from wind power and other renewable energy by 1 percent point, respectively. Mean WTP for solar and biomass electricity was not significantly different from zero. In my second essay, heterogeneity of individual WTP for various renewable energy technologies is investigated using several different variants of the multinomial logit model: a simple MNL with interaction terms, a latent class choice model, a random parameter mixed logit choice model, and a random parameter-latent class choice model. The results of all models consistently show that respondents. preference for individual renewable technology is heterogeneous, but the degree of heterogeneity differs for different renewable technologies. In general, the random parameter logit model with interactions and a hybrid random parameter logit-latent class model fit better than other models and better capture respondents. heterogeneity of preference for renewable energy. The impact of the land under agricultural conservation easement (ACE) contract on the values of nearby residential properties is investigated using housing sales data in two Pennsylvania Counties. The spatial-lag (SLM), the spatial error (SEM) and the spatial error component (SEC) models were compared. A geographically weighted regression (GWR) model is estimated to study the spatial heterogeneity of the marginal implicit prices of ACE impact within each county. New hybrid spatial hedonic models, the GWR-SEC and a modified GWR-SEM, are estimated such that both spatial autocorrelation and heterogeneity are accounted. The results show that the coefficient of land under easement contract varies spatially within one county, but not within the other county studied. Also, ACE's are found to have both positive and negative impacts on the values of nearby residential properties. Among global spatial models, the SEM fit better than the SLM and the SEC. Statistical goodness of fit measures showed that the GWR-SEC model fit better than the GWR or the GWR-SEC model. Finally, the GWR-SEC showed spatial autocorrelation is stronger in one county than in the other county.

  1. A Spatial Probit Econometric Model of Land Change: The Case of Infrastructure Development in Western Amazonia, Peru.

    PubMed

    Arima, E Y

    2016-01-01

    Tropical forests are now at the center stage of climate mitigation policies worldwide given their roles as sources of carbon emissions resulting from deforestation and forest degradation. Although the international community has created mechanisms such as REDD+ to reduce those emissions, developing tropical countries continue to invest in infrastructure development in an effort to spur economic growth. Construction of roads in particular is known to be an important driver of deforestation. This article simulates the impact of road construction on deforestation in Western Amazonia, Peru, and quantifies the amount of carbon emissions associated with projected deforestation. To accomplish this objective, the article adopts a Bayesian probit land change model in which spatial dependencies are defined between regions or groups of pixels instead of between individual pixels, thereby reducing computational requirements. It also compares and contrasts the patterns of deforestation predicted by both spatial and non-spatial probit models. The spatial model replicates complex patterns of deforestation whereas the non-spatial model fails to do so. In terms of policy, both models suggest that road construction will increase deforestation by a modest amount, between 200-300 km2. This translates into aboveground carbon emissions of 1.36 and 1.85 x 106 tons. However, recent introduction of palm oil in the region serves as a cautionary example that the models may be underestimating the impact of roads. PMID:27010739

  2. A Spatial Probit Econometric Model of Land Change: The Case of Infrastructure Development in Western Amazonia, Peru.

    PubMed

    Arima, E Y

    2016-01-01

    Tropical forests are now at the center stage of climate mitigation policies worldwide given their roles as sources of carbon emissions resulting from deforestation and forest degradation. Although the international community has created mechanisms such as REDD+ to reduce those emissions, developing tropical countries continue to invest in infrastructure development in an effort to spur economic growth. Construction of roads in particular is known to be an important driver of deforestation. This article simulates the impact of road construction on deforestation in Western Amazonia, Peru, and quantifies the amount of carbon emissions associated with projected deforestation. To accomplish this objective, the article adopts a Bayesian probit land change model in which spatial dependencies are defined between regions or groups of pixels instead of between individual pixels, thereby reducing computational requirements. It also compares and contrasts the patterns of deforestation predicted by both spatial and non-spatial probit models. The spatial model replicates complex patterns of deforestation whereas the non-spatial model fails to do so. In terms of policy, both models suggest that road construction will increase deforestation by a modest amount, between 200-300 km2. This translates into aboveground carbon emissions of 1.36 and 1.85 x 106 tons. However, recent introduction of palm oil in the region serves as a cautionary example that the models may be underestimating the impact of roads.

  3. Adequate Funding of Education Programs for At-Risk Children: An Econometric Application of Research-Based Cost Differentials

    ERIC Educational Resources Information Center

    Alexander, Kern; Wall, Andrew

    2006-01-01

    This article contributes to the ongoing discussion of the adequacy of funding for public schools, specifically with regard to the provision of programs for at-risk children. Of particular concern is the determination of realistic, research-based costs of adequately funded programs. This article has three basic parts: the definition and measurement…

  4. Econometric analysis on the impact of macroeconomic variables toward financial performance: A case of Malaysian public listed logistics companies

    NASA Astrophysics Data System (ADS)

    Zakariah, Sahidah; Pyeman, Jaafar; Ghazali, Rahmat; Rahman, Ibrahim A.; Rashid, Ahmad Husni Mohd; Shamsuddin, Sofian

    2014-12-01

    The primary concern of this study is to analyse the impact against macroeconomic variables upon the financial performance, particularly in the case of public listed logistics companies in Malaysia. This study incorporated five macroeconomic variables and four proxies of financial performance. The macroeconomic variables selected are gross domestic product (GDP), total trade (XM), foreign direct investment (FDI), inflation rate (INF), and interest rate (INT). This study is extended to the usage of ratio analysis to predict financial performance in relation to the changes upon macroeconomic variables. As such, this study selected four (4) ratios as proxies to financial performance, which is Operating Profit Margin (OPM), Net Profit Margin (NPM), Return on Asset (ROA), Return on Equity (ROE). The findings of this study may appear non-controversial to some, but it resulted in the following important consensus; (1) GDP is found to be highly impacting NPM and least of ROA, (2) XM has high positive impact on OPM and least on ROE, (3) FDI appear to have insignificant impact towards NPM, and (4) INF and INT show similar negative impact on financial performance, precisely highly negative on OPM and least on ROA. Such findings also conform to the local logistic industry settings, specifically in regards to public listed logistics companies in relation to its financial performance.

  5. An econometric analysis of changes in arable land utilization using multinomial logit model in Pinggu district, Beijing, China.

    PubMed

    Xu, Yueqing; McNamara, Paul; Wu, Yanfang; Dong, Yue

    2013-10-15

    Arable land in China has been decreasing as a result of rapid population growth and economic development as well as urban expansion, especially in developed regions around cities where quality farmland quickly disappears. This paper analyzed changes in arable land utilization during 1993-2008 in the Pinggu district, Beijing, China, developed a multinomial logit (MNL) model to determine spatial driving factors influencing arable land-use change, and simulated arable land transition probabilities. Land-use maps, as well as social-economic and geographical data were used in the study. The results indicated that arable land decreased significantly between 1993 and 2008. Lost arable land shifted into orchard, forestland, settlement, and transportation land. Significant differences existed for arable land transitions among different landform areas. Slope, elevation, population density, urbanization rate, distance to settlements, and distance to roadways were strong drivers influencing arable land transition to other uses. The MNL model was proved effective for predicting transition probabilities in land use from arable land to other land-use types, thus can be used for scenario analysis to develop land-use policies and land-management measures in this metropolitan area.

  6. An econometric analysis of regional differences in household waste collection: The case of plastic packaging waste in Sweden

    SciTech Connect

    Hage, Olle Soederholm, Patrik

    2008-07-01

    The Swedish producer responsibility ordinance mandates producers to collect and recycle packaging materials. This paper investigates the main determinants of collection rates of household plastic packaging waste in Swedish municipalities. This is done by the use of a regression analysis based on cross-sectional data for 252 Swedish municipalities. The results suggest that local policies, geographic/demographic variables, socio-economic factors and environmental preferences all help explain inter-municipality collection rates. For instance, the collection rate appears to be positively affected by increases in the unemployment rate, the share of private houses, and the presence of immigrants (unless newly arrived) in the municipality. The impacts of distance to recycling industry, urbanization rate and population density on collection outcomes turn out, though, to be both statistically and economically insignificant. A reasonable explanation for this is that the monetary compensation from the material companies to the collection entrepreneurs vary depending on region and is typically higher in high-cost regions. This implies that the plastic packaging collection in Sweden may be cost ineffective. Finally, the analysis also shows that municipalities that employ weight-based waste management fees generally experience higher collection rates than those municipalities in which flat and/or volume-based fees are used.

  7. A Spatial Probit Econometric Model of Land Change: The Case of Infrastructure Development in Western Amazonia, Peru

    PubMed Central

    Arima, E. Y.

    2016-01-01

    Tropical forests are now at the center stage of climate mitigation policies worldwide given their roles as sources of carbon emissions resulting from deforestation and forest degradation. Although the international community has created mechanisms such as REDD+ to reduce those emissions, developing tropical countries continue to invest in infrastructure development in an effort to spur economic growth. Construction of roads in particular is known to be an important driver of deforestation. This article simulates the impact of road construction on deforestation in Western Amazonia, Peru, and quantifies the amount of carbon emissions associated with projected deforestation. To accomplish this objective, the article adopts a Bayesian probit land change model in which spatial dependencies are defined between regions or groups of pixels instead of between individual pixels, thereby reducing computational requirements. It also compares and contrasts the patterns of deforestation predicted by both spatial and non-spatial probit models. The spatial model replicates complex patterns of deforestation whereas the non-spatial model fails to do so. In terms of policy, both models suggest that road construction will increase deforestation by a modest amount, between 200–300 km2. This translates into aboveground carbon emissions of 1.36 and 1.85 x 106 tons. However, recent introduction of palm oil in the region serves as a cautionary example that the models may be underestimating the impact of roads. PMID:27010739

  8. The 'bankability' of the new waste technologies: an econometric method for risk sharing in private finance waste contracts.

    PubMed

    Black, I; Seaton, R; Chackiath, S; Wagland, S T; Pollard, S J T; Longhurst, P J

    2011-12-01

    The identification of risk and its appropriate allocation to partners in project consortia is essential for minimizing overall project risks, ensuring timely delivery and maximizing benefit for money invested. Risk management guidance available from government bodies, especially in the UK, does not specify methodologies for quantitative risk assessment, nor does it offer a procedure for allocating risk among project partners. Here, a methodology to quantify project risk and potential approaches to allocating risk and their implications are discussed. Construction and operation of a waste management facility through a public-private finance contract are discussed. Public-private partnership contracts are special purpose vehicle (SPV) financing methods promoted by the UK government to boost private sector investment in facilities for public service enhancement. Our findings question the appropriateness of using standard deviation as a measure for project risk and confirm the concept of portfolio theory, suggesting the pooling of risk can reduce total risk and its impact.

  9. A theoretical framework of the good health status of Jamaicans: using econometric analysis to model good health status over the life course

    PubMed Central

    Bourne, Paul A

    2009-01-01

    Background: In recent times, the World Health Organization has increasing drawn attention to the pivotal role of social conditions in determining health status. The non-biological factors produced inequalities in health and need to be considered in health development. In spite of this, extensive review of health Caribbean revealed that no study has examined health status over the life course of Jamaicans. With the value of research in public health, this study is timely and will add value to understand the elderly, middle age and young adults in Jamaica. Objective: The aim of this study is to develop models that can be used to examine (or evaluate) health of Jamaicans, elderly, middle age and young adults. Method: The current study used data from a cross-sectional survey which was conducted between July and October 2002. Stratified random probability sampling technique was used to collect the data from 25,018 respondents across the island. The non-response rate for the survey was 29.7% with 20.5% who did not respond to particular questions, 9.0% did not participated in the survey and another 0.2% was rejected due to data cleaning. Logistic regression analyses were used to model health status of Jamaicans, young adults, middle age adults and elderly. The predictive power of the model was tested using Omnibus Test of Model and Hosmer and Lemeshow (24) was used to examine goodness of fit of the model. The correlation matrix was examined in order to ascertain whether autocorrelation (or multi-collinearity) existed between variables. Results: Using logistic regression analysis, eleven variables emerged as statistically significant predictors of current good health Status of Jamaicans (p<0.05). The factors are retirement income (95%CI=0.487-0.958), logged medical expenditure (95% Confidence Interval, CI =0.907-0.993), marital status (Separated or widowed or divorced: 95%CI=0.309-0.464; married: 95%CI=0.495-0.667; Never married), health insurance (95%CI=0.029-0.046), area of residence (other towns:, 95%CI=1.052-1.455; rural area:), education (secondary: 95%CI=1.167-1.576; tertiary: 95%CI=1.466-2.820; primary or below: OR=1.00), social support (95%CI=0.745-0.964), gender (95%CI=1.281-1.706), psychological affective conditions (negative affective: 95%CI=0.939-0.980; positive affective: 95%CI:1.047-1.107), number of males in household (95%CI:1.066-1.235), number of children in household (95%CI=1.117-1.266) and previous health status. Conclusion: The study concludes that good health status across the three age cohorts can be modelled using data for Jamaicans. Health status is determined by a number of non-biological factors, and that poor health status is difficult to model as a low proportion of the data was correctly classified. Public health requires research with which to make more informed decisions, which means that this study offers an understanding of Jamaicans as well as young adults; middle aged adults and elderly. PMID:22666677

  10. The Hog Cycle of Law Professors: An Econometric Time Series Analysis of the Entry-Level Job Market in Legal Academia

    PubMed Central

    Hamann, Hanjo

    2016-01-01

    The (German) market for law professors fulfils the conditions for a hog cycle: In the short run, supply cannot be extended or limited; future law professors must be hired soon after they first present themselves, or leave the market; demand is inelastic. Using a comprehensive German dataset, we show that the number of market entries today is negatively correlated with the number of market entries eight years ago. This suggests short-sighted behavior of young scholars at the time when they decide to prepare for the market. Using our statistical model, we make out-of-sample predictions for the German academic market in law until 2020. PMID:27467518

  11. The Hog Cycle of Law Professors: An Econometric Time Series Analysis of the Entry-Level Job Market in Legal Academia.

    PubMed

    Engel, Christoph; Hamann, Hanjo

    2016-01-01

    The (German) market for law professors fulfils the conditions for a hog cycle: In the short run, supply cannot be extended or limited; future law professors must be hired soon after they first present themselves, or leave the market; demand is inelastic. Using a comprehensive German dataset, we show that the number of market entries today is negatively correlated with the number of market entries eight years ago. This suggests short-sighted behavior of young scholars at the time when they decide to prepare for the market. Using our statistical model, we make out-of-sample predictions for the German academic market in law until 2020. PMID:27467518

  12. The Hog Cycle of Law Professors: An Econometric Time Series Analysis of the Entry-Level Job Market in Legal Academia.

    PubMed

    Engel, Christoph; Hamann, Hanjo

    2016-01-01

    The (German) market for law professors fulfils the conditions for a hog cycle: In the short run, supply cannot be extended or limited; future law professors must be hired soon after they first present themselves, or leave the market; demand is inelastic. Using a comprehensive German dataset, we show that the number of market entries today is negatively correlated with the number of market entries eight years ago. This suggests short-sighted behavior of young scholars at the time when they decide to prepare for the market. Using our statistical model, we make out-of-sample predictions for the German academic market in law until 2020.

  13. A Non-Econometric Analysis with Algebraic Models to Forecast the Numbers of Newly Hired and Retirement of Public Primary School Teachers in Taiwan

    ERIC Educational Resources Information Center

    Lung-Hsing, Kuo; Hung-Jen, Yang; Ying-Wen, Lin; Shang-Ming, Su

    2011-01-01

    In recent years, the "street teachers" issue has caused social concern in Taiwan. This study estimates the retirement of and needs for newly hired and public primary school teachers in 2010 using an algebraic model from the paper by Husssar (1999). This recursive methodology predicts the number of newly hired public primary school teachers due to…

  14. Effects of Health-Related Food Taxes and Subsidies on Mortality from Diet-Related Disease in New Zealand: An Econometric-Epidemiologic Modelling Study

    PubMed Central

    Ni Mhurchu, Cliona; Eyles, Helen; Genc, Murat; Scarborough, Peter; Rayner, Mike; Mizdrak, Anja; Nnoaham, Kelechi; Blakely, Tony

    2015-01-01

    Background Health-related food taxes and subsidies may promote healthier diets and reduce mortality. Our aim was to estimate the effects of health-related food taxes and subsidies on deaths prevented or postponed (DPP) in New Zealand. Methods A macrosimulation model based on household expenditure data, demand elasticities and population impact fractions for 18 diet-related diseases was used to estimate effects of five tax and subsidy regimens. We used price elasticity values for 24 major commonly consumed food groups in New Zealand, and food expenditure data from national Household Economic Surveys. Changes in mortality from cardiovascular disease, cancer, diabetes and other diet-related diseases were estimated. Findings A 20% subsidy on fruit and vegetables would result in 560 (95% uncertainty interval, 400 to 700) DPP each year (1.9% annual all-cause mortality). A 20% tax on major dietary sources of saturated fat would result in 1,500 (950 to 2,100) DPP (5.0%), and a 20% tax on major dietary sources of sodium would result in 2,000 (1300 to 2,700) DPP (6.8%). Combining taxes on saturated fat and sodium with a fruit and vegetable subsidy would result in 2,400 (1,800 to 3,000) DPP (8.1% mortality annually). A tax on major dietary sources of greenhouse gas emissions would generate 1,200 (750 to 1,700) DPP annually (4.0%). Effects were similar or greater for Maori and low-income households in relative terms. Conclusions Health-related food taxes and subsidies could improve diets and reduce mortality from diet-related disease in New Zealand. Our study adds to the growing evidence base suggesting food pricing policies should improve population health and reduce inequalities, but there is still much work to be done to improve estimation of health impacts. PMID:26154289

  15. Reliability-based econometrics of aerospace structural systems: Design criteria and test options. Ph.D. Thesis - Georgia Inst. of Tech.

    NASA Technical Reports Server (NTRS)

    Thomas, J. M.; Hanagud, S.

    1974-01-01

    The design criteria and test options for aerospace structural reliability were investigated. A decision methodology was developed for selecting a combination of structural tests and structural design factors. The decision method involves the use of Bayesian statistics and statistical decision theory. Procedures are discussed for obtaining and updating data-based probabilistic strength distributions for aerospace structures when test information is available and for obtaining subjective distributions when data are not available. The techniques used in developing the distributions are explained.

  16. Modelling the Labour Market for Teachers: Some Lessons from the UK.

    ERIC Educational Resources Information Center

    Dolton, Peter

    1996-01-01

    Describes an econometric modeling of the labor market for teachers in an "administered" market setting in which the government partially controls the main determinants of demand and is very influential in setting teachers' wages. Reviews relevant econometric literature and shows market forces' crucial role. Discusses economic policy implications…

  17. Outputs as Educator Effectiveness in the United States: Shifting towards Political Accountability

    ERIC Educational Resources Information Center

    Piro, Jody S.; Mullen, Laurie

    2013-01-01

    The definition of educator effectiveness is being redefined by econometric modeling to evidence student achievement on standardized tests. While the reasons that econometric frameworks are in vogue are many, it is clear that the strength of such models lie in the quantifiable evidence of student learning. Current accountability models frame…

  18. 39 CFR 3001.31 - Evidence.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... one of the following considerations apply: (A) Interest in the material or things so labeled is likely... adjustments, if any, to observed data. (iv) Econometric Studies. (a) A presentation of the economic...

  19. Energy Policy Socioeconomic Impact Model

    1993-05-13

    Econometric model simulates consumer demand response to residential demand-side management programs and two-part tariff electricity rate designs and assesses their economic impact on various population groups.

  20. 77 FR 1454 - Request for Nominations of Members To Serve on the Census Scientific Advisory Committee

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-01-10

    ..., survey methodology, geospatial analysis, econometrics, cognitive psychology, and computer science as they...: Demography, economics, geography, psychology, statistics, survey methodology, social and behavioral sciences... areas as demography, economics, geography, psychology, statistics, survey methodology, social...

  1. 76 FR 11195 - Request for Nominations of Members To Serve on the Census Scientific Advisory Committee

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-03-01

    ... data collection, statistical analysis, survey methodology, geospatial analysis, econometrics, cognitive psychology, and computer science as they pertain to the full range of Census Bureau programs and activities... following disciplines: demography, economics, geography, psychology, statistics, survey methodology,...

  2. Scale Mixture Models with Applications to Bayesian Inference

    NASA Astrophysics Data System (ADS)

    Qin, Zhaohui S.; Damien, Paul; Walker, Stephen

    2003-11-01

    Scale mixtures of uniform distributions are used to model non-normal data in time series and econometrics in a Bayesian framework. Heteroscedastic and skewed data models are also tackled using scale mixture of uniform distributions.

  3. Black Student Demand for Higher Education at Large State Universities.

    ERIC Educational Resources Information Center

    Wasylenko, Michael J.

    1984-01-01

    An econometric model is used to explain differences in the percentage of Blacks enrolled at the leading public university in each state. Actual Black enrollment percentages are compared with expected enrollment percentages. (Author/MLW)

  4. Groundwater economics: An object-oriented foundation for integrated studies of irrigated agricultural systems

    Technology Transfer Automated Retrieval System (TEKTRAN)

    An integrated foundation is presented to study the impacts of external forcings on irrigated agricultural systems. Individually, models are presented that simulate groundwater hydrogeology and econometric farm level crop choices and irrigated water use. The natural association between groundwater we...

  5. Groundwater response to changing water-use practices in sloping aquifers using convolution of transient response functions

    Technology Transfer Automated Retrieval System (TEKTRAN)

    An integrated foundation is presented to study the impacts of external forcings on irrigated agricultural systems. Individually, models are presented that simulate groundwater hydrogeology and econometric farm level crop choices and irrigated water use. The natural association between groundwater we...

  6. Minority Utility Rate Design Assessment Model

    SciTech Connect

    Poyer, David A.; Butler, John G.

    2003-01-20

    Econometric model simulates consumer demand response to various user-supplied, two-part tariff electricity rate designs and assesses their economic welfare impact on black, hispanic, poor and majority households.

  7. MURDAM1. 0

    SciTech Connect

    Poyer, D.A.; Butler, J.G. )

    1993-01-01

    Econometric model simulates consumer demand response to various user-supplied, two-part tariff electricity rate designs and assesses their economic welfare impact on black, hispanic, poor and majority households.

  8. Regional Short-Term Energy Model (RSTEM) Overview

    EIA Publications

    2009-01-01

    The Regional Short-Term Energy Model (RSTEM) utilizes estimated econometric relationships for demand, inventories and prices to forecast energy market outcomes across key sectors and selected regions throughout the United States.

  9. 39 CFR 3001.31 - Evidence.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... reference, such as the page and line, or the file and the worksheet or spreadsheet page or cell. Where... adjustments, if any, to observed data. (iv) Econometric Studies. (a) A presentation of the economic...

  10. State energy modeling. Volume 1: An analysis of state energy modeling

    NASA Astrophysics Data System (ADS)

    Melcher, A. G.

    1981-05-01

    An inventory and analysis of state energy models were made. The inventory identified 69 models developed or used at the state government level. Most of these deal with energy demand and area mix as regards the sectors modeled and the fuel types included. Nearly all of these are econometric or econometric engineering end use models. Fewer models deal with energy supply, and several address both supply and demand. The most common types of models are econometric, engineering and use, linear programming, and input-output. Purposes of models include: forecasting; policy analysis; impact analysis; and scenario analysis. Uses include short term emergency management, long term strategic assessment, and specific applications in decisions on facility siting, utility capacity expansion and rate increases proposed legislation, and analysis of federal policy.

  11. The effect of relationship status on health with dynamic health and persistent relationships.

    PubMed

    Kohn, Jennifer L; Averett, Susan L

    2014-07-01

    The dynamic evolution of health and persistent relationship status pose econometric challenges to disentangling the causal effect of relationships on health from the selection effect of health on relationship choice. Using a new econometric strategy we find that marriage is not universally better for health. Rather, cohabitation benefits the health of men and women over 45, being never married is no worse for health, and only divorce marginally harms the health of younger men. We find strong evidence that unobservable health-related factors can confound estimates. Our method can be applied to other research questions with dynamic dependent and multivariate endogenous variables.

  12. Energy modeling. Volume 2: Inventory and details of state energy models

    NASA Astrophysics Data System (ADS)

    Melcher, A. G.; Underwood, R. G.; Weber, J. C.; Gist, R. L.; Holman, R. P.; Donald, D. W.

    1981-05-01

    An inventory of energy models developed by or for state governments is presented, and certain models are discussed in depth. These models address a variety of purposes such as: supply or demand of energy or of certain types of energy; emergency management of energy; and energy economics. Ten models are described. The purpose, use, and history of the model is discussed, and information is given on the outputs, inputs, and mathematical structure of the model. The models include five models dealing with energy demand, one of which is econometric and four of which are econometric-engineering end-use models.

  13. The Costs and Benefits of Deferred Giving.

    ERIC Educational Resources Information Center

    Fink, Norman S.; Metzler, Howard C.

    It is argued in this book that while there can be a significant payoff for deferred giving programs, it is important to determine their cost effectiveness. Modern business methods of cost accounting, benefits analysis, and actuarial and econometric forecasting are applied to the Pomona College plan, whose study was supported by Lilly Endowment,…

  14. Value of Weather Information in Cranberry Marketing Decisions.

    NASA Astrophysics Data System (ADS)

    Morzuch, Bernard J.; Willis, Cleve E.

    1982-04-01

    Econometric techniques are used to establish a functional relationship between cranberry yields and important precipitation, temperature, and sunshine variables. Crop forecasts are derived from the model and are used to establish posterior probabilities to be used in a Bayesian decision context pertaining to leasing space for the storage of the berries.

  15. Advance to and Persistence in Graduate School: Identifying the Influential Factors and Major-Based Differences

    ERIC Educational Resources Information Center

    Xu, Yonghong Jade

    2014-01-01

    Structured within an expanded econometric theoretical framework, this study uses national data sources to identify the critical factors that influence college graduates' advance to and persistence in graduate education and to compare the systematic differences between students in the STEM and non-STEM majors. The findings indicate that there is a…

  16. The Effects of International Mobility on European Researchers: Comparing Intra-EU and U.S. Mobility

    ERIC Educational Resources Information Center

    Veugelers, Reinhilde; Van Bouwel, Linda

    2015-01-01

    Using econometric analysis on survey data from European-born and European-educated researchers who are internationally mobile after their PhD within Europe or to the United States, we find significant positive effects from international mobility on scientific productivity, as well as several other positive career development effects. European…

  17. Moving beyond Spending Fetishes.

    ERIC Educational Resources Information Center

    Hanushek, Eric A.

    1995-01-01

    Enormous funding increases for U.S. public schools have not yielded improvements in student performance. Econometric research shows that neither smaller classes nor graduate teacher training affects performance. Since schools use resources inefficiently, incentives should be linked to performance. Magnet and charter schools and private school…

  18. Disentangling the Circularity in Sen's Capability Approach: An Analysis of the Co-Evolution of Functioning Achievement and Resources

    ERIC Educational Resources Information Center

    Binder, Martin; Coad, Alex

    2011-01-01

    There is an ambiguity in Amartya Sen's capability approach as to what constitutes an individual's resources, conversion factors and valuable functionings. What we here call the "circularity problem" points to the fact that all three concepts seem to be mutually endogenous and interdependent. To econometrically account for this entanglement we…

  19. A Diagrammatic Exposition of Regression and Instrumental Variables for the Beginning Student

    ERIC Educational Resources Information Center

    Foster, Gigi

    2009-01-01

    Some beginning students of statistics and econometrics have difficulty with traditional algebraic approaches to explaining regression and related techniques. For these students, a simple and intuitive diagrammatic introduction as advocated by Kennedy (2008) may prove a useful framework to support further study. The author presents a series of…

  20. Predicting the impacts of new technology aircraft on international air transportation demand

    NASA Technical Reports Server (NTRS)

    Ausrotas, R. A.

    1981-01-01

    International air transportation to and from the United States was analyzed. Long term and short term effects and causes of travel are described. The applicability of econometric methods to forecast passenger travel is discussed. A nomograph is developed which shows the interaction of economic growth, airline yields, and quality of service in producing international traffic.

  1. East-West migration in Europe: can migration theories help estimate the numbers?

    PubMed

    Oberg, S; Wils, A B

    1992-01-01

    "In this article, we discuss the types of scientific knowledge that could be used to estimate migration flows." Theories from the disciplines of economics, geography, geopolitics, sociology, demography, econometrics, and history are reviewed. The authors find that "each field provides a partial explanation of...migration flows." The geographical focus is on Europe. PMID:12286068

  2. Lecture Attendance, Study Time, and Academic Performance: A Panel Data Study

    ERIC Educational Resources Information Center

    Andrietti, Vincenzo; Velasco, Carlos

    2015-01-01

    The authors analyze matched administrative survey data on economics students enrolled in two econometrics courses offered in consecutive terms at a major public university in Spain to assess the impact of lecture attendance and study time on academic performance. Using proxy variables in a cross-sectional regression setting, they find a positive…

  3. Modeling EU electricity market competition using the residual supply index

    SciTech Connect

    Swinand, Gregory; Scully, Derek; Ffoulkes, Stuart; Kessler, Brian

    2010-11-15

    An econometric approach to related hourly Residual Supply Index to price-cost margins in the major EU electricity generation markets suggests that market structure, as measured by the RSI, is a significant explanatory factor for markups, even when scarcity and other explanatory variables are included. (author)

  4. Altruism in the "Market" for Giving and Receiving: A Case of Higher Education.

    ERIC Educational Resources Information Center

    Yoo, Jang H.; Harrison, William B.

    1989-01-01

    Examines donations to colleges as an outcome of simultaneously solving supply and demand functions. Donors demand attention and prestige supplied by college fund raisers. Using data from 13 colleges, this econometric study shows that the demand side has a unitary elasticity concerning per person donations, while the supply side seems inelastic.…

  5. Household Schooling Decisions in Rural Pakistan. Working Paper.

    ERIC Educational Resources Information Center

    Sawada, Yasuyuki; Lokshin, Michael

    A study of household schooling decisions in rural Pakistan found serious supply-side constraints on female primary education in the villages studied. Field surveys of 25 Pakistani villages were integrated with economic theory and econometric analysis to investigate the sequential nature of educational decisions. The full-information maximum…

  6. Provisioning in Agricultural Communities: Local, Regional and Global Cereal Prices and Local Production on Three Continents

    NASA Technical Reports Server (NTRS)

    Brown, Molly E.; Tondel, Fabien; Essam, Timothy; Thorne, Jennifer A.; Mann, Bristol F.; Eilerts, Gary

    2012-01-01

    Monitoring and incorporating diverse market and staple food information into food price indices is critical for food price analyses. Satellite remote sensing data and earth science models have an important role to play in improving humanitarian aid timing, delivery and distribution. Incorporating environmental observations into econometric models will improve food security analysis and understanding of market functioning.

  7. Potential Impact of Increased Numbers of Physicians upon Physician Behavior, Access to, and Cost of, Medical Care. Final Report.

    ERIC Educational Resources Information Center

    Musgrave, Gerald L.

    The potential impact of the increasing supply of physicians on physician behavior, the cost of medical services, and access to services is addressed in detail in this final research report. Econometric modeling and analyses of economic activity within the health sector were undertaken. An eight equation model of the hospital and physician sectors…

  8. Bureau of Labor Statistics Employment Projections: Detailed Analysis of Selected Occupations and Industries. Report to the Honorable Berkley Bedell, United States House of Representatives.

    ERIC Educational Resources Information Center

    General Accounting Office, Washington, DC.

    To compile its projections of future employment levels, the Bureau of Labor Statistics (BLS) combines the following five interlinked models in a six-step process: a labor force model, an econometric model of the U.S. economy, an industry activity model, an industry labor demand model, and an occupational labor demand model. The BLS was asked to…

  9. Career Outcomes of STEM and Non-STEM College Graduates: Persistence in Majored-Field and Influential Factors in Career Choices

    ERIC Educational Resources Information Center

    Xu, Yonghong Jade

    2013-01-01

    Using data from a nationally representative, longitudinal survey of college graduates, this study examines student transition from college to their chosen career paths and identifies factors influencing college graduates' choosing an occupation related to ones' undergraduate major. Within the context of expanded econometric framework a wide range…

  10. The (Positive) Effect of Macroeconomic Crises on the Schooling and Employment Decisions of Children in a Middle-Income Country.

    ERIC Educational Resources Information Center

    Schady, Norbert R.

    This paper analyzes the effects of the 1988-1992 macroeconomic crisis in Peru on the schooling and employment decisions taken by school-aged children in urban areas. It discusses the Peruvian setting during this period and describes the data used in the analysis and the econometric specification. Two basic findings were made: (1) there was no…

  11. Doing a Monty: Who Opened the Door to This Game for Economists?

    ERIC Educational Resources Information Center

    Round, David K.

    2007-01-01

    The Monty Hall three-door, "Let's Make a Deal" game, named after the 1970s television show, is used widely in economics, econometrics, statistics, and game-theory-based teaching, as well as in many other disciplines. Its solutions and underlying assumptions arouse great passion and argument, in both the academic and popular press. Most economists…

  12. New Employment Forecasts. Hotel and Catering Industry 1988-1993.

    ERIC Educational Resources Information Center

    Measurement for Management Decision, Ltd., London (England).

    Econometric forecasting models were used to forecast employment levels in the hotel and catering industry in Great Britain through 1993 under several different forecasting scenarios. The growth in employment in the hotel and catering industry over the next 5 years is likely to be broadly based, both across income levels of domestic consumers,…

  13. Energy Conservation for Low-Income Households: The Evaporative Cooler Experience.

    ERIC Educational Resources Information Center

    Ridge, Richard S.

    1988-01-01

    An econometric analysis, using a research design based on the nonequivalent control group (NECG), assessed the effectiveness of a program offering free evaporative coolers to low-income families owning air conditioners. The NECG controls for serious threats to internal validity, except for self-selection. The program successfully reduced energy…

  14. 39 CFR 3050.26 - Documentation of demand elasticities and volume forecasts.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 39 Postal Service 1 2012-07-01 2012-07-01 false Documentation of demand elasticities and volume... § 3050.26 Documentation of demand elasticities and volume forecasts. By January 20 of each year, the... accompanied by the underlying econometric models and the input data sets used; and a volume forecast for...

  15. 39 CFR 3050.26 - Documentation of demand elasticities and volume forecasts.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 39 Postal Service 1 2014-07-01 2014-07-01 false Documentation of demand elasticities and volume... § 3050.26 Documentation of demand elasticities and volume forecasts. By January 20 of each year, the... accompanied by the underlying econometric models and the input data sets used; and a volume forecast for...

  16. 39 CFR 3050.26 - Documentation of demand elasticities and volume forecasts.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 39 Postal Service 1 2013-07-01 2013-07-01 false Documentation of demand elasticities and volume... § 3050.26 Documentation of demand elasticities and volume forecasts. By January 20 of each year, the... accompanied by the underlying econometric models and the input data sets used; and a volume forecast for...

  17. Revealing Failures in the History of School Finance. NBER Working Paper No. 15491

    ERIC Educational Resources Information Center

    Lindert, Peter H.

    2009-01-01

    This essay proposes a set of non-econometric tests using data on wage structure, school resource costs, public expenditures, taxes, and rates of return to explain anomalies in which richer political units deliver less education than poorer ones. Both the anomalies of education history, and its less surprising contrasts, fit broad patterns that can…

  18. Schooling and Cognitive Achievements of Children in Morocco: Can the Government Improve Outcomes? World Bank Discussion Papers, No. 264.

    ERIC Educational Resources Information Center

    Khandker, Shahidur R.; And Others

    This paper uses data from the Morocco Living Standard Survey in an econometric investigation of the relative effectiveness of supply- and demand-side factors in determining educational outcomes. A wide range of factors are examined that may be responsible for differences in grade completion levels and achievement among sexes, regions, and urban…

  19. Key Management Challenges in Smart Grid

    SciTech Connect

    Sheldon, Frederick T; Duren, Mike

    2012-01-01

    Agenda Awarded in February 2011 Team of industry and research organizations Project Objectives Address difficult issues Complexity Diversity of systems Scale Longevity of solution Participate in standards efforts and working groups Develop innovative key management solutions Modeling and simulation ORNL Cyber Security Econometric Enterprise System Demonstrate effectiveness of solution Demonstrate scalability

  20. Evaluation of variation in nitrate concentration levels in the Raccoon River watershed in Iowa

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The Raccoon River Watershed in Iowa has received considerable attention in recent past due to frequent detections of nitrogen concentrations above the federal drinking water standard. This paper econometrically investigates the determinants of variation of nitrogen concentrations in the Raccoon Rive...

  1. Gender and Migration Background in Intergenerational Educational Mobility

    ERIC Educational Resources Information Center

    Schneebaum, Alyssa; Rumplmaier, Bernhard; Altzinger, Wilfried

    2016-01-01

    We employ 2011 European Union Statistics on Income and Living Conditions survey data for Austria to perform uni- and multivariate econometric analyses to study the role of gender and migration background (MB) in intergenerational educational mobility. We find that there is more persistence in the educational attainment of girls relative to their…

  2. Exact Probabilistic and Mathematical Proofs of the Relation between the Mean Number of Items per Source in the Bibliography and the Generalized 80/20-Rule.

    ERIC Educational Resources Information Center

    Egghe, L.

    1993-01-01

    Examines the 80/20 rule that relates to productive sources in a bibliography. Highlights include applications in library acquisition policies, library circulation and weeding policies, science policy studies, information science, and econometrics; formulae of Burrell and of Egghe; probabilistic proofs; geometric distributions; Lotka distribution;…

  3. Estimating the Relation between Health and Education: What Do We Know and What Do We Need to Know?

    ERIC Educational Resources Information Center

    Eide, Eric R.; Showalter, Mark H.

    2011-01-01

    The empirical link between education and health is firmly established. Numerous studies document that higher levels of education are positively associated with longer life and better health throughout the lifespan. But measuring the causal links between education and health is a more challenging task. Aside from the typical econometric concerns…

  4. Predisposition Factors of Career and Technical Education Transfer Students: A Hermeneutic Phenomenology Study

    ERIC Educational Resources Information Center

    Hioki, Warren Glen

    2009-01-01

    Various econometric, sociological, and combined research models (e.g., Hossler and Gallagher's preeminent Three-Phase Model on College Choice) provide help in understanding high school students in their decision-making stages and college experience. Many studies that utilize these models on college choice strongly substantiate and perpetuate the…

  5. A Graphical Interpretation of Probit Coefficients.

    ERIC Educational Resources Information Center

    Becker, William E.; Waldman, Donald M.

    1989-01-01

    Contends that, when discrete choice models are taught, particularly the probit model, it is the method rather than the interpretation of the results that is emphasized. This article provides a graphical technique for interpretation of an estimated probit coefficient that will be useful in statistics and econometrics courses. (GG)

  6. School Cost Functions: A Meta-Regression Analysis

    ERIC Educational Resources Information Center

    Colegrave, Andrew D.; Giles, Margaret J.

    2008-01-01

    The education cost literature includes econometric studies attempting to determine economies of scale, or estimate an optimal school or district size. Not only do their results differ, but the studies use dissimilar data, techniques, and models. To derive value from these studies requires that the estimates be made comparable. One method to do…

  7. Skills for a Low-Carbon Europe: The Role of VET in a Sustainable Energy Scenario. Synthesis Report. Research Paper No 34

    ERIC Educational Resources Information Center

    Ranieri, Antonio, Ed.

    2013-01-01

    This report provides an analysis of the labour market impacts of EU policy interventions designed to support the transition to a job-rich, low-carbon economy. The approach taken is innovative as it combines quantitative (econometric modelling) and qualitative (case study) methods to investigate the expected impact of sustainable energy policies on…

  8. Reducing the Digital Divide through ICT Adoption: Factors, Barriers, and How ICT in Schools Can Help

    ERIC Educational Resources Information Center

    Tengtrakul, Pitikorn

    2013-01-01

    Through econometric analysis of data from multiple surveys, this study explores factors that affect ICT adoption and evaluates the extent to which ICT in schools affect the ICT adoption of surrounding communities, in order to provide a perspective that can help narrow the gap of digital divide. Understanding factors affecting ICT adoption may…

  9. Can Effective Teacher Behavior Be Identified?

    ERIC Educational Resources Information Center

    Bonesronning, Hans

    2004-01-01

    The present paper departs from the hypothesis that successful teachers are characterized by being able to manipulate student effort. Grading is identified as a potential teachers' tool, and its quantitative importance is investigated by estimation of an education production function. The main econometric problems are omitted variables biases due…

  10. East-West migration in Europe: can migration theories help estimate the numbers?

    PubMed

    Oberg, S; Wils, A B

    1992-01-01

    "In this article, we discuss the types of scientific knowledge that could be used to estimate migration flows." Theories from the disciplines of economics, geography, geopolitics, sociology, demography, econometrics, and history are reviewed. The authors find that "each field provides a partial explanation of...migration flows." The geographical focus is on Europe.

  11. TRACKING THE EMISSION OF CARBON DIOXIDE BY NATION, SECTOR, AND FUEL TYPE: A TRACE GAS ACCOUNTING SYSTEM (TGAS)

    EPA Science Inventory

    The paper describes a new way to estimate an efficient econometric model of global emissions of carbon dioxide (CO2) by nation, sector, and fuel type. Equations for fuel intensity are estimated for coal, oil, natural gas, electricity, and heat for six sectors: agricultural, indus...

  12. Vietnam: The Political Economy of Education in a "Socialist" Periphery

    ERIC Educational Resources Information Center

    London, Jonathan D.

    2006-01-01

    In this article I examine historic changes in the goals, conduct and outcomes of education policies in Vietnam from the 1940s to the present, under the Communist Party of Vietnam. Recent studies of Vietnam's education system centre on econometric and demographic analysis of education data dating back to the early 1990s, when Vietnam began an…

  13. From Data to Bonuses: A Case Study of the Issues Related to Awarding Teachers Pay on the Basis of Their Students' Progress. Working Paper 2008-14

    ERIC Educational Resources Information Center

    McCaffrey, Daniel F.; Han, Bing; Lockwood, J. R.

    2008-01-01

    A key component to the new wave of performance-based pay initiatives is the use of student achievement data to evaluate teacher performance. As greater amounts of student achievement data are being collected, researchers have been developing and applying innovative statistical and econometric models to longitudinal data to develop measures of an…

  14. A Research-Based Development Economics Course for Undergraduates

    ERIC Educational Resources Information Center

    Singh, Prakarsh; Guo, Hongye; Morales, Alvaro

    2015-01-01

    The authors present details of a research-based course in development economics taught at a private liberal arts college. There were three key elements in this class: teaching of applied econometrics, group presentations reviewing published and working papers in development economics, and using concepts taught in class to write an original…

  15. Analysis of stock market indices through multidimensional scaling

    NASA Astrophysics Data System (ADS)

    Machado, J. Tenreiro; Duarte, Fernando B.; Duarte, Gonçalo Monteiro

    2011-12-01

    We propose a graphical method to visualize possible time-varying correlations between fifteen stock market values. The method is useful for observing stable or emerging clusters of stock markets with similar behaviour. The graphs, originated from applying multidimensional scaling techniques (MDS), may also guide the construction of multivariate econometric models.

  16. Pedagogy and the PC: Trends in the AIS Curriculum

    ERIC Educational Resources Information Center

    Badua, Frank

    2008-01-01

    The author investigated the array of course topics in accounting information systems (AIS), as course syllabi embody. The author (a) used exploratory data analysis to determine the topics that AIS courses most frequently offered and (b) used descriptive statistics and econometric analysis to trace the diversity of course topics through time,…

  17. Dreams Deferred? The Relationship between Early and Later Postsecondary Educational Aspirations among Racial/Ethnic Groups

    ERIC Educational Resources Information Center

    Cooper, Michelle Asha

    2009-01-01

    This study uses data from the Educational Longitudinal Study of 2002 to test a conceptual model that integrates aspects of sociological and econometric frameworks into a traditional status attainment model for educational aspirations. Using descriptive and logistic analyses, this study advanced understanding of the patterns and stability of…

  18. Learning-Testing Process in Classroom: An Empirical Simulation Model

    ERIC Educational Resources Information Center

    Buda, Rodolphe

    2009-01-01

    This paper presents an empirical micro-simulation model of the teaching and the testing process in the classroom (Programs and sample data are available--the actual names of pupils have been hidden). It is a non-econometric micro-simulation model describing informational behaviors of the pupils, based on the observation of the pupils'…

  19. Determining How Tertiary Education and Human Capital Formation Influenced Economic Expansion in Israel, Japan, and Norway from 2000-2010

    ERIC Educational Resources Information Center

    Kalkbrenner, Erin Lee

    2014-01-01

    Researchers have calculated the relationship between human capital development and economic output by various means of econometric modeling and by use of numerous indicators under the context of an assortment of human capital theory. This study was conducted to identify new interpretations of the expansion of human capital in the form of tertiary…

  20. Spatial-Temporal Models of Insect Growth, Diffusion and Derivative Pricing

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Insect derivatives represent an important innovation in specialty crop risk management. An active over-the-counter market in insect derivatives will require a transparent pricing method. The paper develops an econometric model of the spatio-temporal process underlying a particular insect populatio...

  1. The Effects of Factor Prices and Technological Change on the Occupational Demand for Labor: Evidence from Canadian Telecommunications.

    ERIC Educational Resources Information Center

    Denny, Michael; Fuss, Melvyn

    1983-01-01

    This paper investigates the effect of automation on the occupational demand for labor using modern econometric demand theory. The empirical results demonstrate the strong effects of innovative activity in the telecommunications industry. Technical change was capital-using and labor-saving, with the labor-saving impact being felt most severely by…

  2. ENVIRONMENTAL ECONOMICS FOR WATERSHED RESTORATION

    EPA Science Inventory

    This book overviews non-market valuation, input-output analysis, cost-benefit analysis, and presents case studies from the Mid Atlantic Highland region, with all but the bare minimum econometrics, statistics, and math excluded or relegated to an appendix. It is a non-market valu...

  3. Is Private Production of Public Services Cheaper Than Public Production? A Meta-Regression Analysis of Solid Waste and Water Services

    ERIC Educational Resources Information Center

    Bel, Germa; Fageda, Xavier; Warner, Mildred E.

    2010-01-01

    Privatization of local government services is assumed to deliver cost savings, but empirical evidence for this from around the world is mixed. We conduct a meta-regression analysis of all econometric studies examining privatization of water distribution and solid waste collection services and find no systematic support for lower costs with private…

  4. Impact of Education on the Income of Different Social Groups

    ERIC Educational Resources Information Center

    Yue, Changjun; Liu, Yanping

    2007-01-01

    This study investigates, statistically and econometrically, the income level, income inequality, education inequality, and the relationship between education and income of different social groups, on the basis of the Chinese Urban Household Survey conducted in 2005, the Gini coefficient and the quartile regression method. Research findings…

  5. Students Choosing Colleges: Understanding the Matriculation Decision at a Highly Selective Private Institution. NBER Working Paper No. 15772

    ERIC Educational Resources Information Center

    Nurnberg, Peter; Schapiro, Morton; Zimmerman, David

    2010-01-01

    The college choice process can be reduced to three questions: (1) Where does a student apply?; (2) Which schools accept the students?; and (3) Which offer of admission does the student accept? This paper addresses question three. Specifically, we offer an econometric analysis of the matriculation decisions made by students accepted to Williams…

  6. Students Choosing Colleges: Understanding the Matriculation Decision at a Highly Selective Private Institution

    ERIC Educational Resources Information Center

    Nurnberg, Peter; Schapiro, Morton; Zimmerman, David

    2012-01-01

    This paper provides an econometric analysis of the matriculation decisions made by students accepted to Williams College, one of the nation's most highly selective colleges and universities. Using data for the Williams classes of 2008 through 2012 to estimate a yield model, we find that--conditional on the student applying to and being accepted by…

  7. Synthetic Indicators of Quality of Life in Europe

    ERIC Educational Resources Information Center

    Somarriba, Noelia; Pena, Bernardo

    2009-01-01

    For more than three decades now, sociologists, politicians and economists have used a wide range of statistical and econometric techniques to analyse and measure the quality of life of individuals with the aim of obtaining useful instruments for social, political and economic decision making. The aim of this paper is to analyse the advantages and…

  8. The Relationship of Class Size Effects and Teacher Salary

    ERIC Educational Resources Information Center

    Peevely, Gary; Hedges, Larry; Nye, Barbara A.

    2005-01-01

    The effects of class size on academic achievement have been studied for decades. Although the results of small-scale, randomized experiments and large-scale, econometric studies point to positive effects of small classes, some scholars see the evidence as ambiguous. Recent analyses from a 4-year, large-scale, randomized experiment on the effects…

  9. The Way We Were (and Are): Changes in Public Finance and Its Textbooks.

    ERIC Educational Resources Information Center

    Rosen, Harvey S.

    1997-01-01

    Comparison of a contemporary public finance textbook with one written in the 1940s indicates the following major changes in the field: microeconomic theory is now the framework for analyzing positive and normative issues; research is dominated by econometrics; and topical coverage has changed along with changes in public policy. (JOW)

  10. Be as Careful of the Company You Keep as of the Books You Read: Peer Effects in Education and on the Labor Market. NBER Working Paper No. 14948

    ERIC Educational Resources Information Center

    DeGiorgi, Giacomo; Pellizzari, Michele; Redaelli, Silvia

    2009-01-01

    In this paper we investigate whether peers' behavior influences the choice of college major, thus contributing to the mismatch of skills in the labor market. Using a newly constructed dataset, we are able to identify the endogenous effect of peers on such decisions through a novel identification strategy that solves the common econometric problems…

  11. Economics of Job Search: A Biracial Analysis of Job Search Behavior of Urban Male Youth Ages 18-22.

    ERIC Educational Resources Information Center

    Stephenson, Stanley P., Jr.

    This study presents and tests an econometric model of job search behavior for youth. The main hypothesis is that differences in search behavior help account for youth-adult employment differences and that within the youth group, black-white unemployment and earnings differentials can be partially explained by job search behavior. Endogenous…

  12. Influences on Labor Market Outcomes of African American College Graduates: A National Study

    ERIC Educational Resources Information Center

    Strayhorn, Terrell L.

    2008-01-01

    Using an expanded econometric model, this study sought to estimate more precisely the net effect of independent variables (i.e., attending an HBCU) on three measures of labor market outcomes for African American college graduates. Findings reveal a statistically significant, albeit moderate, relationship between measures of background, human and…

  13. Grade Repetition in Honduran Primary Schools

    ERIC Educational Resources Information Center

    Marshall, Jeffery H.

    2003-01-01

    This paper looks at several dimensions of the grade failure issue in Honduras using a unique data set compiled by the UMCE evaluation project in 1998 and 1999. The analytical framework incorporates econometric analysis of standardized tests and teacher pass/fail decisions for roughly 13,000 second and fourth grade students. The results show that…

  14. Could Teacher Grading Practices Account for Unexplained Variation in School Achievements?

    ERIC Educational Resources Information Center

    Montmarquette, Claude; Mahseredjian, Sophie

    1989-01-01

    In the educational economics literature, input substitutions have been identified as the major difficulty in assessing school and teacher effectiveness. This paper uses Correa and Gruver's teacher-student interaction model to enhance the econometric specification of students' academic achievement equations by introducing a teacher grading…

  15. Location Effects and the Determination of Beginning Teacher Salaries: Evidence from Ohio.

    ERIC Educational Resources Information Center

    Wagner, Gary A.; Porter, Tod S.

    2000-01-01

    Uses a (spatial-econometric) location weighing variable to examine how starting teacher salaries in one Ohio district are influenced by other regional starting salaries. A $1 increase in a neighboring district generates a $.51 to $.96 increase. Size and distance factors help account for spill-over effects. (Contains 34 references.) (MLH)

  16. A Comparison of Alternative Specifications of the College Attendance Equation with an Extension to two-stage Selectivity-Correction Models.

    ERIC Educational Resources Information Center

    Hilmer, Michael J.

    2001-01-01

    Estimates a college-attendance equation for a common set of students (from the High School and Beyond Survey) using three popular econometric specifications: the multinomial logit, the ordered probit, and the bivariate probit. Estimated marginal effects do not differ significantly across the three specifications. Choice of specification may not…

  17. Whatever Happened to Economics?

    ERIC Educational Resources Information Center

    Livesey, Frank

    1986-01-01

    Maintains the status of economics is falling. Fewer students, low returns on econometric models, and over-certain economic predictions resulting from inappropriate scientific methodology are seen as indicators of the fall. More attention needs to be given in teaching the sources, use and abuse of economic data, and in social science methodology.…

  18. Education and Nonmetropolitan Income Growth in the South.

    ERIC Educational Resources Information Center

    Henry, Mark; Barkley, David; Li, Haizhen

    Investigations of the linkages between improved schools and local economic development are rare. This paper considers several models that introduce human capital as a potential source of economic growth in the rural South. Results from various econometric models indicate that across the South, county per capita income growth rates from 1970 to…

  19. Resource Allocation in Public Research Universities

    ERIC Educational Resources Information Center

    Santos, Jose L.

    2007-01-01

    The purpose of this study was to conduct an econometric analysis of internal resource allocation. Two theories are used for this study of resource allocation in public research universities, and these are: (1) Theory of the Firm; and (2) Resource Dependence Theory. This study used the American Association of Universities Data Exchange (AAUDE)…

  20. Examining the Earnings Trajectories of Community College Students Using a Piecewise Growth Curve Modeling Approach

    ERIC Educational Resources Information Center

    Jaggars, Shanna Smith; Xu, Di

    2016-01-01

    Policymakers have become increasingly concerned with measuring--and holding colleges accountable for--students' labor market outcomes. In this article we introduce a piecewise growth curve approach to analyzing community college students' labor market outcomes, and we discuss how this approach differs from two popular econometric approaches:…

  1. Interpreting Bivariate Regression Coefficients: Going beyond the Average

    ERIC Educational Resources Information Center

    Halcoussis, Dennis; Phillips, G. Michael

    2010-01-01

    Statistics, econometrics, investment analysis, and data analysis classes often review the calculation of several types of averages, including the arithmetic mean, geometric mean, harmonic mean, and various weighted averages. This note shows how each of these can be computed using a basic regression framework. By recognizing when a regression model…

  2. An Analysis of Contributions and Contributors in Economic Education Research.

    ERIC Educational Resources Information Center

    Marlin, James W., Jr.; Durden, Garey C.

    1993-01-01

    Reports on a study of 25 years of the content and contributors in economic education research. Finds that economic education has become a legitimate subfield within economics and has grown from mostly descriptive research to sophisticated mathematical and econometric models. (CFR)

  3. The Case of Effort Variables in Student Performance.

    ERIC Educational Resources Information Center

    Borg, Mary O.; And Others

    1989-01-01

    Tests the existence of a structural shift between above- and below-average students in the econometric models that explain students' grades in principles of economics classes. Identifies a structural shift and estimates separate models for above- and below-average students. Concludes that separate models as well as educational policies are…

  4. School Accountability, Autonomy, Choice, and the Level of Student Achievement: International Evidence from PISA 2003. OECD Education Working Papers, No. 13

    ERIC Educational Resources Information Center

    Wobmann, Ludger; Ludemann, Elke; Schutz, Gabriela; West, Martin R.

    2007-01-01

    Accountability, autonomy, and choice play a leading role in recent school reforms in many countries. This report provides new evidence on whether students perform better in school systems that have such institutional measures in place. We implement an internationally comparative approach within a rigorous micro-econometric framework that accounts…

  5. What Do Cost Functions Tell Us about the Cost of an Adequate Education?

    ERIC Educational Resources Information Center

    Costrell, Robert M.; Hanushek, Eric; Loeb, Susanna

    2008-01-01

    Econometric cost functions have begun to appear in education adequacy cases with greater frequency. Cost functions are superficially attractive because they give the impression of objectivity, holding out the promise of scientifically estimating the cost of achieving specified levels of performance from actual data on spending. By contrast, the…

  6. University-Industry Research Collaboration: A Model to Assess University Capability

    ERIC Educational Resources Information Center

    Abramo, Giovanni; D'Angelo, Ciriaco Andrea; Di Costa, Flavia

    2011-01-01

    Scholars and policy makers recognize that collaboration between industry and the public research institutions is a necessity for innovation and national economic development. This work presents an econometric model which expresses the university capability for collaboration with industry as a function of size, location and research quality. The…

  7. Measuring Inflation in Public Libraries: A Comparison of Two Approaches, the Input Cost Index and the Cost of Services Index.

    ERIC Educational Resources Information Center

    Chambers, Jay C.; Vergun, Robert

    1999-01-01

    Presents two approaches to measuring the inflation faced by public libraries: (1) an approach based on a fixed market basket of the prices of library inputs; and (2) an approach based on an econometric model of library services and costs that yields a costs of services index. Discusses uses of both models. (SLD)

  8. Class-Size Effects on Adolescents' Mental Health and Well-Being in Swedish Schools

    ERIC Educational Resources Information Center

    Jakobsson, Niklas; Persson, Mattias; Svensson, Mikael

    2013-01-01

    This paper analyzes whether class size has an effect on the prevalence of mental health problems and well-being among adolescents in Swedish schools. We use cross-sectional data collected in year 2008 covering 2755 Swedish adolescents in ninth grade from 40 schools and 159 classes. We utilize different econometric approaches to address potential…

  9. Does Peer Ability Affect Student Achievement?

    ERIC Educational Resources Information Center

    Hanushek, Eric A.; Kain, John F.; Markman, Jacob M.; Rivkin, Steven G.

    Empirical analysis of peer effects on student achievement has been open to question because of the difficulties of separating peer effects from other confounding influences. While most econometric attention has been directed at issues of simultaneous determination of peer interactions, this paper argues that issues of omitted and mismeasured…

  10. A Panel Analysis of Student Mathematics Achievement in the US in the 1990s: Does Increasing the Amount of Time in Learning Activities Affect Math Achievement?

    ERIC Educational Resources Information Center

    Aksoy, Tevfik; Link, Charles R.

    2000-01-01

    Uses panel estimation techniques to estimate econometric models of mathematics achievement determinants for a nationally representative sample of high-school students. Extra time spent on math homework increases test scores; an extra hour of TV viewing negatively affects scores. Longer math periods also help. (Contains 56 references.) (MLH)

  11. The Ratio of Public Investment in Education in China

    ERIC Educational Resources Information Center

    Liu, Zeyun; Yuan, Liansheng

    2007-01-01

    Based on cross-section data worldwide and time series data in China, the essay is intended to make an analysis of the factors which have impacts on the ratio of public investment in education by using econometric models and then the future ratio may be predicted. Conclusions are as follows. First, the proportion of fiscal revenue to GDP (gross…

  12. Revisiting the Principle of Relative Constancy: Consumer Mass Media Expenditures in Belgium.

    ERIC Educational Resources Information Center

    Dupagne, Michel; Green, R. Jeffery

    1996-01-01

    Proposes two new econometric models for testing the principle of relative constancy (PRC). Reports on regression and cointegration analyses conducted with Belgian mass media expenditure data from 1953-91. Suggests that alternative mass media expenditure models should be developed because PRC lacks of economic foundation and sound empirical…

  13. Using Shocks to School Enrollment to Estimate the Effect of School Size on Student Achievement

    ERIC Educational Resources Information Center

    Kuziemko, Ilyana

    2006-01-01

    Previous studies of the connection between school enrollment size and student achievement use cross-sectional econometric models and thus do not account for unobserved heterogeneity across schools. To address this concern, I utilize school-level panel data, and generate first-differences estimates of the effect of school size on achievement.…

  14. The Determinants of College Student Retention

    ERIC Educational Resources Information Center

    Guerrero, Adam A.

    2010-01-01

    This study attempts to add to the college student dropout literature by examining persistence decisions at private, non-selective university using previously unstudied explanatory variables and advanced econometric methods. Three main contributions are provided. First, proprietary data obtained from a type of university that is underrepresented in…

  15. 39 CFR 3050.26 - Documentation of demand elasticities and volume forecasts.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 39 Postal Service 1 2011-07-01 2011-07-01 false Documentation of demand elasticities and volume... § 3050.26 Documentation of demand elasticities and volume forecasts. By January 20 of each year, the Postal Service shall provide econometric estimates of demand elasticity for all postal...

  16. Eliminating Problems Caused by Multicollinearity: A Warning.

    ERIC Educational Resources Information Center

    Kennedy, Peter E.

    1982-01-01

    Explains why an econometric practice introduced by J.C. Soper cannot eliminate the problems caused by multicollinearity. The author suggests that it can be a useful technique in that it forces researchers to pay more attention to the specifications of their models. (AM)

  17. Statistical Cost Estimation in Higher Education: Some Alternatives.

    ERIC Educational Resources Information Center

    Brinkman, Paul T.; Niwa, Shelley

    Recent developments in econometrics that are relevant to the task of estimating costs in higher education are reviewed. The relative effectiveness of alternative statistical procedures for estimating costs are also tested. Statistical cost estimation involves three basic parts: a model, a data set, and an estimation procedure. Actual data are used…

  18. Effect of fare and travel time on the demand for domestic air transportation

    NASA Technical Reports Server (NTRS)

    Eriksen, S. E.; Liu, E. W.

    1979-01-01

    An econometric travel demand model was presented. The model was used for analyzing long haul domestic passenger markets in the United States. The results showed the sensitivities of demand to changes in fares and speed reflecting technology through more efficient aircraft designs.

  19. Education Returns of Wage Earners and Self-Employed Workers: Response

    ERIC Educational Resources Information Center

    Garcia-Mainar, Inmaculada; Montuenga-Gomez, Victor M.

    2009-01-01

    This is a response to [Jordahl, H., Poutvaara, P., & Tuomala, J. (2009). Comment on education returns of wage earners and self-employed workers. "Economics of Education Review" 28]. We acknowledge that econometrics have improved since the time our original paper was written, so that the choice of accurate instruments is now more deeply founded.…

  20. Handbook of the Economics of Education. Volume 3

    ERIC Educational Resources Information Center

    Hanushek, Eric A., Ed.; Machin, Stephen J., Ed.; Woessmann, Ludger, Ed.

    2011-01-01

    How does education affect economic and social outcomes, and how can it inform public policy? Volume 3 of the Handbooks in the Economics of Education uses newly available high quality data from around the world to address these and other core questions. With the help of new methodological approaches, contributors cover econometric methods and…

  1. Duration Models to Analyze Dating Relationship: The Controversial Role of Gift Giving.

    ERIC Educational Resources Information Center

    Huang, Ming-Hui; Yu, Shihti

    2000-01-01

    Econometric duration models were used to analyze dating relationships of 225 college students. Using gifts to enhance the self, express love, and announce relationships helped ensure the success of relationships. Gifts that were too frequent or rare resulted in self-depreciation and anxiety and harmed relationships. (SK)

  2. The Effect of Training on Productivity: The Transfer of On-the-Job Training from the Perspective of Economics

    ERIC Educational Resources Information Center

    De Grip, Andries; Sauermann, Jan

    2013-01-01

    Although the transfer of on-the-job training to the workplace belongs to the realm of educational research, it is also highly related to labour economics. In the economic literature, the transfer of training is based on the theoretical framework of human capital theory and has been extensively analysed empirically in econometric studies that take…

  3. Public and Private School Distinction, Regional Development Differences, and Other Factors Influencing the Success of Primary School Students in Turkey

    ERIC Educational Resources Information Center

    Sulku, Seher Nur; Abdioglu, Zehra

    2015-01-01

    This study investigates the factors influencing the success of students in primary schools in Turkey. TIMSS 2011 data for Turkey, measuring the success of eighth-grade students in the field of mathematics, were used in an econometric analysis, performed using classical linear regression models. Two hundred thirty-nine schools participated in the…

  4. Teaching Students Not to Dismiss the Outermost Observations in Regressions

    ERIC Educational Resources Information Center

    Kasprowicz, Tomasz; Musumeci, Jim

    2015-01-01

    One econometric rule of thumb is that greater dispersion in observations of the independent variable improves estimates of regression coefficients and therefore produces better results, i.e., lower standard errors of the estimates. Nevertheless, students often seem to mistrust precisely the observations that contribute the most to this greater…

  5. Income Distribution Over Educational Levels: A Simple Model.

    ERIC Educational Resources Information Center

    Tinbergen, Jan

    An econometric model is formulated that explains income per person in various compartments of the labor market defined by three main levels of education and by education required. The model enables an estimation of the effect of increased access to education on that distribution. The model is based on a production for the economy as a whole; a…

  6. Manipulating Educational Expenditure: Dilemmas for the '70s. Monograph Series/13.

    ERIC Educational Resources Information Center

    Handa, M. L.

    This document has been extracted from the same author's "Toward a Rational Educational Policy," which is an econometric analysis of the components of educational expenditure in the Ontario educational system. The author outlines some substantial changes in approach to educational policy that will be necessary if desirable educational objectives…

  7. Wage Determinants among Medical Doctors and Nurses in Spain

    ERIC Educational Resources Information Center

    Salas-Velasco, Manuel

    2010-01-01

    This paper examines the determination of wage rates for health professionals using three well known, and commonly used, econometric techniques: ordinary least squares, instrumental variables, and Heckman's method. The data come from a graduate survey and the analysis focuses on a regional labor market, due to nationwide information on salaries is…

  8. Cognitive Functioning and the Probability of Falls among Seniors in Havana, Cuba

    ERIC Educational Resources Information Center

    Trujillo, Antonio J.; Hyder, Adnan A.; Steinhardt, Laura C.

    2011-01-01

    This article explores the connection between cognitive functioning and falls among seniors (greater than or equal to 60 years of age) in Havana, Cuba, after controlling for observable characteristics. Using the SABE (Salud, Bienestar, and Envejecimiento) cross-sectional database, we used an econometric strategy that takes advantage of available…

  9. Investment in Communications and Transportation: Socio-economic Impacts on Rural Development.

    ERIC Educational Resources Information Center

    Hilewick, Carol Lee; And Others

    Two rural counties served as model areas in a comparison of the size and sequence of socioeconomic changes that investment in communications, as opposed to investment in transportation networks, might stimulate. A series of communications, rail, and highway changes were simulated through the use of an econometric model. An Industrial Communication…

  10. The Well-Being of Children Born to Teen Mothers: Multiple Approaches to Assessing the Causal Links. JCPR Working Paper.

    ERIC Educational Resources Information Center

    Levine, Judith A.; Pollack, Harold

    This study used linked maternal-child data from the 1997-1998 National Longitudinal Survey of Youth to explore the wellbeing of children born to teenage mothers. Two econometric techniques explored the causal impact of early childbearing on subsequent child and adolescent outcomes. First, a fixed-effect, cousin-comparison analysis controlled for…

  11. 39 CFR 3050.26 - Documentation of demand elasticities and volume forecasts.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 39 Postal Service 1 2010-07-01 2010-07-01 false Documentation of demand elasticities and volume... § 3050.26 Documentation of demand elasticities and volume forecasts. By January 20 of each year, the... accompanied by the underlying econometric models and the input data sets used; and a volume forecast for...

  12. The economic value of remote sensing of earth resources from space: An ERTS overview and the value of continuity of service. Volume 3: Intensive use of living resources, agriculture. Part 3: The integrated impact of improved (ERS) information on US agricultural commodities

    NASA Technical Reports Server (NTRS)

    Seidel, A. D.

    1974-01-01

    The economic value of information produced by an assumed operational version of an earth resources survey satellite of the ERTS class is assessed. The theoretical capability of an ERTS system to provide improved agricultural forecasts is analyzed and this analysis is used as a reasonable input to the econometric methods derived by ECON. An econometric investigation into the markets for agricultural commodities is summarized. An overview of the effort including the objectives, scopes, and architecture of the analysis, and the estimation strategy employed is presented. The results and conclusions focus on the economic importance of improved crop forecasts, U.S. exports, and government policy operations. Several promising avenues of further investigation are suggested.

  13. New evidence in health economics.

    PubMed

    Moscone, Francesco; Vittadini, Giorgio

    2011-02-01

    The 2nd Health Econometrics Workshop took place at the Catholic University of Rome in Italy on 15-17 July 2010. The purpose of this meeting was to provide a forum where policy makers, economists and econometricians could discuss the use of statistical and econometric methods to address issues in the field of health economics. There were seven keynote speakers - leading scholars in the subject - invited to give their contributions: Alberto Holly, Stephen Hall, Badi Baltagi, William Greene, Andrew Jones, John Mullahy and Edward Norton. The meeting was attended by 50 participants from around the world, and 17 scientific papers were presented. Some of these works will be published in the forthcoming special issue of Empirical Economics.

  14. New evidence in health economics.

    PubMed

    Moscone, Francesco; Vittadini, Giorgio

    2011-02-01

    The 2nd Health Econometrics Workshop took place at the Catholic University of Rome in Italy on 15-17 July 2010. The purpose of this meeting was to provide a forum where policy makers, economists and econometricians could discuss the use of statistical and econometric methods to address issues in the field of health economics. There were seven keynote speakers - leading scholars in the subject - invited to give their contributions: Alberto Holly, Stephen Hall, Badi Baltagi, William Greene, Andrew Jones, John Mullahy and Edward Norton. The meeting was attended by 50 participants from around the world, and 17 scientific papers were presented. Some of these works will be published in the forthcoming special issue of Empirical Economics. PMID:21351856

  15. Optimizing distance-based methods for large data sets

    NASA Astrophysics Data System (ADS)

    Scholl, Tobias; Brenner, Thomas

    2015-10-01

    Distance-based methods for measuring spatial concentration of industries have received an increasing popularity in the spatial econometrics community. However, a limiting factor for using these methods is their computational complexity since both their memory requirements and running times are in {{O}}(n^2). In this paper, we present an algorithm with constant memory requirements and shorter running time, enabling distance-based methods to deal with large data sets. We discuss three recent distance-based methods in spatial econometrics: the D&O-Index by Duranton and Overman (Rev Econ Stud 72(4):1077-1106, 2005), the M-function by Marcon and Puech (J Econ Geogr 10(5):745-762, 2010) and the Cluster-Index by Scholl and Brenner (Reg Stud (ahead-of-print):1-15, 2014). Finally, we present an alternative calculation for the latter index that allows the use of data sets with millions of firms.

  16. A dynamic model of industrial energy demand in Kenya

    SciTech Connect

    Haji, S.H.H.

    1994-12-31

    This paper analyses the effects of input price movements, technology changes, capacity utilization and dynamic mechanisms on energy demand structures in the Kenyan industry. This is done with the help of a variant of the second generation dynamic factor demand (econometric) model. This interrelated disequilibrium dynamic input demand econometric model is based on a long-term cost function representing production function possibilities and takes into account the asymmetry between variable inputs (electricity, other-fuels and Tabour) and quasi-fixed input (capital) by imposing restrictions on the adjustment process. Variations in capacity utilization and slow substitution process invoked by the relative input price movement justifies the nature of input demand disequilibrium. The model is estimated on two ISIS digit Kenyan industry time series data (1961 - 1988) using the Iterative Zellner generalized least square method. 31 refs., 8 tabs.

  17. International health spending forecasts: concepts and evaluation.

    PubMed

    Getzen, T E; Poullier, J P

    1992-05-01

    Health care depends on the organizational and financial decisions which constituted each national system. Since those decisions were made at various times over the preceding years under different macroeconomic conditions, current expenditures are a distributed lag function of GDP growth and inflation rates. The accuracy of forecasts from such causal econometric models are compared to exponential smoothing, moving average, and ARIMA methods. Data fro 19 OECD countries 1965-79 are used for calibration, and then ex ante forecasts are generated for 1980-87 so that actual forecast accuracy can be tested. The greatest reduction in mean absolute error was obtained with the econometric model estimated in aggregate across all 19 countries, although single-country models, exponential smoothing and international averaging were also effective. A combination of all four forecasts was more accurate than any one alone, reducing MAE by 25% relative to a constant growth projection.

  18. Panel data analysis of cardiotocograph (CTG) data.

    PubMed

    Horio, Hiroyuki; Kikuchi, Hitomi; Ikeda, Tomoaki

    2013-01-01

    Panel data analysis is a statistical method, widely used in econometrics, which deals with two-dimensional panel data collected over time and over individuals. Cardiotocograph (CTG) which monitors fetal heart rate (FHR) using Doppler ultrasound and uterine contraction by strain gage is commonly used in intrapartum treatment of pregnant women. Although the relationship between FHR waveform pattern and the outcome such as umbilical blood gas data at delivery has long been analyzed, there exists no accumulated FHR patterns from large number of cases. As time-series economic fluctuations in econometrics such as consumption trend has been studied using panel data which consists of time-series and cross-sectional data, we tried to apply this method to CTG data. The panel data composed of a symbolized segment of FHR pattern can be easily handled, and a perinatologist can get the whole FHR pattern view from the microscopic level of time-series FHR data.

  19. Economics of technological change - A joint model for the aircraft and airline industries

    NASA Technical Reports Server (NTRS)

    Kneafsey, J. T.; Taneja, N. K.

    1981-01-01

    The principal focus of this econometric model is on the process of technological change in the U.S. aircraft manufacturing and airline industries. The problem of predicting the rate of introduction of current technology aircraft into an airline's fleet during the period of research, development, and construction for new technology aircraft arises in planning aeronautical research investments. The approach in this model is a statistical one. It attempts to identify major factors that influence transport aircraft manufacturers and airlines, and to correlate them with the patterns of delivery of new aircraft to the domestic trunk carriers. The functional form of the model has been derived from several earlier econometric models on the economics of innovation, acquisition, and technological change.

  20. Airfreight forecasting methodology and results

    NASA Technical Reports Server (NTRS)

    1978-01-01

    A series of econometric behavioral equations was developed to explain and forecast the evolution of airfreight traffic demand for the total U.S. domestic airfreight system, the total U.S. international airfreight system, and the total scheduled international cargo traffic carried by the top 44 foreign airlines. The basic explanatory variables used in these macromodels were the real gross national products of the countries involved and a measure of relative transportation costs. The results of the econometric analysis reveal that the models explain more than 99 percent of the historical evolution of freight traffic. The long term traffic forecasts generated with these models are based on scenarios of the likely economic outlook in the United States and 31 major foreign countries.

  1. The effect of managed care on use of health care services: results from two contemporaneous household surveys.

    PubMed

    Deb, Partha; Li, Chenghui; Trivedi, Pravin K; Zimmer, David M

    2006-07-01

    This paper estimates treatment effects of managed care plans on the utilization of health care services using data from two contemporaneous, nationally representative household surveys from the USA. The paper exploits recent advances in simulation-based econometrics to take the endogeneity of enrollment into managed care plans into account and identify the causal relationship between managed care enrollment and utilization. Overall, results from the two surveys are remarkably similar, lending credibility to their external validity and to the econometric model and estimation methods. There is significant evidence of self-selection into managed care plans. After accounting for selection, an individual enrolled in an health maintenance organization (HMO) plan has 2 more visits to a doctor and has 0.1 more visits to the emergency room per year than would the same individual enrolled in a nonmanaged care plan.

  2. Demand for health care in Denmark: results of a national sample survey using contingent valuation.

    PubMed

    Gyldmark, M; Morrison, G C

    2001-10-01

    In this paper we use willingness to pay (WTP) to elicit values for private insurance covering treatment for four different health problems. By way of obtaining these values, we test the viability of the contingent valuation method (CVM) and econometric techniques, respectively, as means of eliciting and analysing values from the general public. WTP responses from a Danish national sample survey, which was designed in accordance with existing guidelines, are analysed in terms of consistency and validity checks. Large numbers of zero responses are common in WTP studies, and are found here; therefore, the Heckman selectivity model and log-transformed OLS are employed. The selectivity model is rejected, but test results indicate that the lognormal model yields efficient and unbiased estimates. The results give confidence in the WTP estimates obtained and, more generally, in CVM as a means of valuing publicly provided goods and in econometrics as a tool for analysing WTP results containing many zero responses.

  3. The impact of corruption on the sustainable development of human capital

    NASA Astrophysics Data System (ADS)

    Absalyamova, Svetlana; Absalyamov, Timur; Khusnullova, Asiya; Mukhametgalieva, Chulpan

    2016-08-01

    The article explains the use of the human capital sustainable development index (HCSDI) to assess the quality of the reproduction of human capital. The paper provides the algorithm for calculating HCSDI and its components. Authors estimated cross-country differences of HCSDI and developed econometric model of the impact of corruption on HCSDI. The use of this model has allowed to reveal the mechanism and assess the impact of corruption on HCSDI and its components. The results of econometric analysis revealed a negative multiplier effect: an increase in the corruption of the socio-economic system of the state by 1% caused HCSDI reduce by more than 1%. The results and conclusions may be proxy-assessments of the socio-economic consequences of violations of the stability of reproduction of human capital in the conditions of the growth of corruption in the country

  4. Irrigation water demand: A meta-analysis of price elasticities

    NASA Astrophysics Data System (ADS)

    Scheierling, Susanne M.; Loomis, John B.; Young, Robert A.

    2006-01-01

    Metaregression models are estimated to investigate sources of variation in empirical estimates of the price elasticity of irrigation water demand. Elasticity estimates are drawn from 24 studies reported in the United States since 1963, including mathematical programming, field experiments, and econometric studies. The mean price elasticity is 0.48. Long-run elasticities, those that are most useful for policy purposes, are likely larger than the mean estimate. Empirical results suggest that estimates may be more elastic if they are derived from mathematical programming or econometric studies and calculated at a higher irrigation water price. Less elastic estimates are found to be derived from models based on field experiments and in the presence of high-valued crops.

  5. Market penetration of new energy technologies

    SciTech Connect

    Packey, D.J.

    1993-02-01

    This report examines the characteristics, advantages, disadvantages, and, for some, the mathematical formulas of forecasting methods that can be used to forecast the market penetration of renewable energy technologies. Among the methods studied are subjective estimation, market surveys, historical analogy models, cost models, diffusion models, time-series models, and econometric models. Some of these forecasting methods are more effective than others at different developmental stages of new technologies.

  6. Quantifying the benefits to the national economy from secondary applications of NASA technology, executive summary

    NASA Technical Reports Server (NTRS)

    1976-01-01

    The feasibility of systematically quantifying the economic benefits of secondary applications of NASA related R and D was investigated. Based upon the tools of economic theory and econometric analysis, a set of empirical methods was developed and selected applications were made to demonstrate their workability. Analyses of the technological developments related to integrated circuits, cryogenic insulation, gas turbines, and computer programs for structural analysis indicated substantial secondary benefits accruing from NASA's R and D in these areas.

  7. The role of trans-Tasman migration in forecasting the New Zealand population.

    PubMed

    Poot, J

    1993-01-01

    "This article argues that, for the short to medium term, [New Zealand population] projections can be improved upon by adopting econometric methodologies which take explicitly into account the demographic-economic two-way interaction in certain components of international migration. Specifically, the article summarizes research on the causes and consequences of trans-Tasman migration, which is the dominant component of the volatility in New Zealand's net migration. It is shown how these findings can aid population forecasting."

  8. Maximum entropy and Bayesian methods. Proceedings.

    NASA Astrophysics Data System (ADS)

    Grandy, W. T., Jr.; Schick, L. H.

    This volume contains a selection of papers presented at the Tenth Annual Workshop on Maximum Entropy and Bayesian Methods. The thirty-six papers included cover a wide range of applications in areas such as economics and econometrics, astronomy and astrophysics, general physics, complex systems, image reconstruction, and probability and mathematics. Together they give an excellent state-of-the-art overview of fundamental methods of data analysis.

  9. An integrated model of human-wildlife interdependence

    USGS Publications Warehouse

    John, Kun H.; Walsh, Richard G.; Johnson, R. L.

    1994-01-01

    This paper attempts to integrate wildlife-related ecologic and economic variables into an econometric model. The model reveals empirical evidence of the presumed interdependence of human-wildlife and the holistic nature of humanity's relationship to the ecosystem. Human use of biologic resources varies not only with income, education, and population, but also with sustainability of humankind's action relative to the quality and quantity of the supporting ecological base.

  10. Dynamics of Markets

    NASA Astrophysics Data System (ADS)

    McCauley, Joseph L.

    2009-09-01

    Preface; 1. Econophysics: why and what; 2. Neo-classical economic theory; 3. Probability and stochastic processes; 4. Introduction to financial economics; 5. Introduction to portfolio selection theory; 6. Scaling, pair correlations, and conditional densities; 7. Statistical ensembles: deducing dynamics from time series; 8. Martingale option pricing; 9. FX market globalization: evolution of the dollar to worldwide reserve currency; 10. Macroeconomics and econometrics: regression models vs. empirically based modeling; 11. Complexity; Index.

  11. Market and economic analysis of residential photovoltaic systems

    NASA Astrophysics Data System (ADS)

    Tabors, R. D.

    1982-06-01

    The overall structure of a project to evaluate the U.S. residential photovoltaic market or markets is reviewed and experience obtained before cuts in federal funding for the project were reduced is summarized. Topics covered include residential worth analysis, (including retrofit applications); evaluation of presently available regional, econometric models which could be used to project housing stocks; and the analysis of retrofit potential for residential photovoltaic power systems given available roof area.

  12. The estimation of economic and demographic impacts for Department of Energy alternative scenarios

    NASA Astrophysics Data System (ADS)

    Ballard, K. P.

    1980-04-01

    A multistate interactive econometric model of the U.S. economy is used to estimate the spatial distribution of impacts from model forecasts of energy development alternatives. The model is overviewed to familiarize the reader with the structure, advantages, and limitations of this multiregional modeling system. The linking methodology between the energy forecasting model and the multiregional economic-demographic model is described. The results of the application of this methodology are presented. General conclusions follows.

  13. Improved (ERTS) information and its impact on U.S. markets for agricultural commodities: A quantitiative economic investigation of production, distribution and net export effects

    NASA Technical Reports Server (NTRS)

    1974-01-01

    An econometric investigation into the markets for agricultural commodities is summarized. An overview of the effort including the objectives, scope, and architecture of the analysis and the estimation strategy employed is presented. The major empirical results and policy conclusions are set forth. These results and conclusions focus on the economic importance of improved crop forecasts, U.S. exports, and government policy operations. A number of promising avenues of further investigation are suggested.

  14. Extraterrestrial materials processing and construction. [space industrialization

    NASA Technical Reports Server (NTRS)

    Criswell, D. R.; Waldron, R. D.; Mckenzie, J. D.

    1980-01-01

    Three different chemical processing schemes were identified for separating lunar soils into the major oxides and elements. Feedstock production for space industry; an HF acid leach process; electrorefining processes for lunar free metal and metal derived from chemical processing of lunar soils; production and use of silanes and spectrally selective materials; glass, ceramics, and electrochemistry workshops; and an econometric model of bootstrapping space industry are discussed.

  15. Quantifying the benefits to the national economy from secondary applications of NASA technology

    NASA Technical Reports Server (NTRS)

    1976-01-01

    The feasibility of systematically quantifying the economic benefits of secondary applications of NASA related R and D is investigated. Based upon the tools of economic theory and econometric analysis, it develops a set of empirical methods and makes selected applications to demonstrate their workability. Analyses of the technological developments related to integrated circuits, cryogenic insulation, gas turbines, and computer programs for structural analysis indicated substantial secondary benefits accruing from NASA's R and D in these areas.

  16. A socio-economic method for estimating future air pollutant emissions—Chicago case study

    NASA Astrophysics Data System (ADS)

    Tao, Zhining; Williams, Allen; Donaghy, Kieran; Hewings, Geoffrey

    This paper presents the development of an econometric-emission model to formulate future anthropogenic emission inventories for different societal and climate change scenarios. Our approach is to formulate the emission projections for a given scenario into growth factors that can be used to project forward the 1999 National Emission Inventory (NEI99). The process involves (1) mapping NEI99 source classification code (SCC)-based emissions into the sector or standard industrial classification (SIC)-based representation used by the econometric model, (2) developing a sectoral emission intensity (EMI) defined as the sector emissions per unit of sector economic output and the mechanism to consider EMI variations over time, (3) using the resulting EMI with econometric models and future emission activities to project future emissions, (4) and then mapping the emissions back to the original NEI99 format. As a case study, we apply the model to project emissions in the Chicago metropolitan area. The results show that the model is a fast, flexible, yet reasonable tool to produce a wide range of emission scenarios that are specific to regions, and would prove valuable for future air quality and other impact studies.

  17. India's pulp and paper industry: Productivity and energy efficiency

    SciTech Connect

    Schumacher, Katja

    1999-07-01

    Historical estimates of productivity growth in India's pulp and paper sector vary from indicating an improvement to a decline in the sector's productivity. The variance may be traced to the time period of study, source of data for analysis, and type of indices and econometric specifications used for reporting productivity growth. The authors derive both statistical and econometric estimates of productivity growth for this sector. Their results show that productivity declined over the observed period from 1973-74 to 1993-94 by 1.1% p.a. Using a translog specification the econometric analysis reveals that technical progress in India's pulp and paper sector has been biased towards the use of energy and material, while it has been capital and labor saving. The decline in productivity was caused largely by the protection afforded by high tariffs on imported paper products and other policies, which allowed inefficient, small plants to enter the market and flourish. Will these trends continue into the future, particularly where energy use is concerned? The authors examine the current changes in structure and energy efficiency undergoing in the sector. Their analysis shows that with liberalization of the sector, and tighter environmental controls, the industry is moving towards higher efficiency and productivity. However, the analysis also shows that because these improvements are being hampered by significant financial and other barriers the industry might have a long way to go.

  18. India's iron and steel industry: Productivity, energy efficiency and carbon emissions

    SciTech Connect

    Schumacher, Katja; Sathaye, Jayant

    1998-10-01

    Historical estimates of productivity growth in India's iron and steel sector vary from indicating an improvement to a decline in the sector's productivity. The variance may be traced to the time period of study, source of data for analysis, and type of indices and econometric specifications used for reporting productivity growth. The authors derive both growth accounting and econometric estimates of productivity growth for this sector. Their results show that over the observed period from 1973--74 to 1993--94 productivity declined by 1.71{percent} as indicated by the Translog index. Calculations of the Kendrick and Solow indices support this finding. Using a translog specification the econometric analysis reveals that technical progress in India's iron and steel sector has been biased towards the use of energy and material, while it has been capital and labor saving. The decline in productivity was caused largely by the protective policy regarding price and distribution of iron and steel as well as by large inefficiencies in public sector integrated steel plants. Will these trends continue into the future, particularly where energy use is concerned? Most likely they will not. The authors examine the current changes in structure and energy efficiency undergoing in the sector. Their analysis shows that with the liberalization of the iron and steel sector, the industry is rapidly moving towards world-best technology, which will result in fewer carbon emissions and more efficient energy use in existing and future plants.

  19. Municipal water consumption forecast accuracy

    NASA Astrophysics Data System (ADS)

    Fullerton, Thomas M.; Molina, Angel L.

    2010-06-01

    Municipal water consumption planning is an active area of research because of infrastructure construction and maintenance costs, supply constraints, and water quality assurance. In spite of that, relatively few water forecast accuracy assessments have been completed to date, although some internal documentation may exist as part of the proprietary "grey literature." This study utilizes a data set of previously published municipal consumption forecasts to partially fill that gap in the empirical water economics literature. Previously published municipal water econometric forecasts for three public utilities are examined for predictive accuracy against two random walk benchmarks commonly used in regional analyses. Descriptive metrics used to quantify forecast accuracy include root-mean-square error and Theil inequality statistics. Formal statistical assessments are completed using four-pronged error differential regression F tests. Similar to studies for other metropolitan econometric forecasts in areas with similar demographic and labor market characteristics, model predictive performances for the municipal water aggregates in this effort are mixed for each of the municipalities included in the sample. Given the competitiveness of the benchmarks, analysts should employ care when utilizing econometric forecasts of municipal water consumption for planning purposes, comparing them to recent historical observations and trends to insure reliability. Comparative results using data from other markets, including regions facing differing labor and demographic conditions, would also be helpful.

  20. The Effects of Resource Intermittency on Electricity System Emissions

    NASA Astrophysics Data System (ADS)

    Sechrist, B.; Jacobson, M. Z.

    2015-12-01

    Since society subsidizes the production of renewable electricity in order to decrease emissions from the electric power system, it is important to quantify the environmental benefits of renewables. We use the intermittency characteristics of renewable resources to assess the impact of renewable generation on the emissions of carbon dioxide and other air pollutants. Previous studies have investigated the impact of wind or solar generation on emissions; rather than focusing on a particular technology, we separate the intermittent resource into its components - specifically variability, predictability, and timing - and isolate the effect of each component. For the Texas electricity grid, we use the observed outputs of generating units to econometrically estimate the effect of each intermittency characteristic on CO2, SO2, and NOx emissions. We then use the econometric results to evaluate and compare the expected emissions implications of adding different resources to the system. While the econometric estimates are derived from the wind currently online in Texas, the decomposition of the intermittency makes the results technology agnostic and allows for a comparison between prospective resources of different types. Preliminary results will be presented.

  1. Family system dynamics and type 1 diabetic glycemic variability: a vector-auto-regressive model.

    PubMed

    Günther, Moritz Philipp; Winker, Peter; Böttcher, Claudia; Brosig, Burkhard

    2013-06-01

    Statistical approaches rooted in econometric methodology, so far foreign to the psychiatric and psychological realms have provided exciting and substantial new insights into complex mind-body interactions over time and individuals. Over 120 days, this structured diary study explored the mutual interactions of emotions within a classic 3-person family system with its Type 1 diabetic adolescent's daily blood glucose variability. Glycemic variability was measured through daily standard deviations of blood glucose determinations (at least 3 per day). Emotions were captured individually utilizing the self-assessment manikin on affective valence (negative-positive), activation (calm-excited), and control (dominated-dominant). Auto- and cross-correlating the stationary absolute (level) values of the mutually interacting parallel time series data sets through vector autoregression (VAR, grounded in econometric theory) allowed for the formulation of 2 concordant models. Applying Cholesky Impulse Response Analysis at a 95% confidence interval, we provided evidence for an adolescent being happy, calm, and in control to exhibit less glycemic variability and hence diabetic derailment. A nondominating mother and a happy father seemed to also reduce glycemic variability. Random shocks increasing glycemic variability affected only the adolescent and her father: In 1 model, the male parent felt in charge; in the other, he calmed down while his daughter turned sad. All reactions to external shocks lasted for less than 4 full days. Extant literature on affect and glycemic variability in Type 1 diabetic adolescents as well as challenges arising from introducing econometric theory to the field were discussed.

  2. Adaptability of Irrigation to a Changing Monsoon in India: How far can we go?

    NASA Astrophysics Data System (ADS)

    Zaveri, E.; Grogan, D. S.; Fisher-Vanden, K.; Frolking, S. E.; Wrenn, D. H.; Nicholas, R.

    2014-12-01

    Agriculture and the monsoon are inextricably linked in India. A large part of the steady rise in agricultural production since the onset of the Green Revolution in the 1960's has been attributed to irrigation. Irrigation is used to supplement and buffer crops against precipitation shocks, but water availability for such use is itself sensitive to the erratic, seasonal and spatially heterogeneous nature of the monsoon. We provide new evidence on the relationship between monsoon changes, irrigation variability and water availability by linking a process based hydrology model with an econometric model for one of the world's most water stressed countries. India uses more groundwater for irrigation than any other country, and there is substantial evidence that this has led to depletion of groundwater aquifers. First, we build an econometric model of historical irrigation decisions using detailed agriculture and weather data spanning 35 years. Multivariate regression models reveal that for crops grown in the wet season, irrigation is sensitive to distribution and total monsoon rainfall but not to ground or surface water availability. For crops grown in the dry season, total monsoon rainfall matters most, and its effect is sensitive to groundwater availability. The historical estimates from the econometric model are used to calculate future irrigated areas under three different climate model predictions of monsoon climate for the years 2010 - 2050. These projections are then used as input to a physical hydrology model, which quantifies supply of irrigation water from sustainable sources such as rechargeable shallow groundwater, rivers and reservoirs, to unsustainable sources such as non- rechargeable groundwater. We find that the significant variation in monsoon projections lead to very different results. Crops grown in the dry season show particularly divergent trends between model projections, leading to very different groundwater resource requirements.

  3. Genetics and cardiovascular disease: the impact of molecular diagnosis.

    PubMed

    Vengoechea, Jaime; McKelvey, Kent D

    2013-04-01

    Information technology is exponentially reducing the cost of genetic testing while multiple clinical applications emerge. Genetic diagnosis increasingly impacts prevention, diagnosis and treatment of disease. In cardiovascular medicine, the establishment of a specific genetic diagnosis may affect management of cardiomyopathy, arrhythmia, connective tissue and metabolic disease. Econometric studies have determined that genetic testing is cost-effective in hypertrophic cardiomyopathy and disease-specific interventions are now available for specific conditions. Identification of a specific genetic disorder now allows for more precise medicine in the affected individual and more accurate preventive care for asymptomatic family members.

  4. The impact of energy, transport, and trade on air pollution in China

    SciTech Connect

    Poon, J.P.H.; Casas, I.; He, C.F.

    2006-09-15

    A team of U.S.- and China-based geographers examines the relationship between China's economic development and its environment by modeling the effects of energy, transport, and trade on local air pollution emissions (sulfur dioxide and soot particulates) using the Environmental Kuznets model. Specifically, the latter model is investigated using spatial econometrics that take into account potential regional spillover effects from high-polluting neighbors. The analysis finds an inverted-U relationship for sulfur dioxide but a U-shaped curve for soot particulates. This suggests that soot particulates such as black carbon may pose a more serious environmental problem in China than sulfur dioxide.

  5. Measuring the effects of reducing subsidies for private insurance on public expenditure for health care.

    PubMed

    Cheng, Terence Chai

    2014-01-01

    This paper investigates the effects of reducing subsidies for private health insurance on public sector expenditure for hospital care. An econometric framework using simultaneous equation models is developed to analyse the interrelated decisions on the intensity and type of health care use and private insurance. The framework is applied to the context of the mixed public-private system in Australia. The simulation projections show that reducing premium subsidies is expected to generate net cost savings. This arises because the cost savings achieved from reducing subsidies are larger than the potential increase in public expenditure on hospital care. PMID:24334005

  6. Measuring the effects of reducing subsidies for private insurance on public expenditure for health care.

    PubMed

    Cheng, Terence Chai

    2014-01-01

    This paper investigates the effects of reducing subsidies for private health insurance on public sector expenditure for hospital care. An econometric framework using simultaneous equation models is developed to analyse the interrelated decisions on the intensity and type of health care use and private insurance. The framework is applied to the context of the mixed public-private system in Australia. The simulation projections show that reducing premium subsidies is expected to generate net cost savings. This arises because the cost savings achieved from reducing subsidies are larger than the potential increase in public expenditure on hospital care.

  7. A statistical test of the stability assumption inherent in empirical estimates of economic depreciation.

    PubMed

    Shriver, K A

    1986-01-01

    Realistic estimates of economic depreciation are required for analyses of tax policy, economic growth and production, and national income and wealth. THe purpose of this paper is to examine the stability assumption underlying the econometric derivation of empirical estimates of economic depreciation for industrial machinery and and equipment. The results suggest that a reasonable stability of economic depreciation rates of decline may exist over time. Thus, the assumption of a constant rate of economic depreciation may be a reasonable approximation for further empirical economic analyses. PMID:10279817

  8. Migration plans and hours of work in Malaysia.

    PubMed

    Gillin, E D; Sumner, D A

    1985-01-01

    "This article describes characteristics of prospective migrants in the Malaysian Family Life Survey and investigates how planning to move affects hours of work. [The authors] use ideas about intertemporal substitution...to discuss the response to temporary and permanent wage expectations on the part of potential migrants. [An] econometric section presents reduced-form estimates for wage rates and planned migration equations and two-stage least squares estimates for hours of work. Men currently planning a move were found to work fewer hours. Those originally planning only a temporary stay at their current location work more hours." PMID:12280256

  9. Is inequality harmful for the environment? An empirical analysis applied to developing and transition countries.

    PubMed

    Clement, Matthieu; Meunie, Andre

    2010-01-01

    The object of this article is to examine the relation between social inequalities and pollution. First of all we provide a survey demonstrating that, from a theoretical point of view, a decrease in inequality has an uncertain impact on the environment. Second, on the basis of these conceptual considerations, we propose an econometric analysis based on panel data (fixed-effects and dynamic panel data models) concerning developing and transition countries for the 1988-2003 period. We examine specifically the effect of inequality on the extent of local pollution (sulphur dioxide emissions and organic water pollution) by integrating the Gini index into the formulation of the environmental Kuznets' curve.

  10. Social and spatial processes associated with childhood diarrheal disease in Matlab, Bangladesh

    PubMed Central

    Perez-Heydrich, Carolina; Furgurson, Jill M.; Giebultowicz, Sophia; Winston, Jennifer J.; Yunus, Mohammad; Streatfield, Peter Kim; Emch, Michael

    2012-01-01

    We develop novel methods for conceptualizing geographic space and social networks to evaluate their respective and combined contributions to childhood diarrheal incidence. After defining maternal networks according to direct familial linkages between females, and road networks using satellite imagery of the study area, we use a spatial econometrics model to evaluate the significance of correlation terms relating childhood diarrheal incidence to the incidence observed within respective networks. Disease was significantly clustered within road networks across time, but only inconsistently correlated within maternal networks. These methods could be widely applied to systems in which both social and spatial processes jointly influence health outcomes. PMID:23178328

  11. Raising household saving: does financial education work?

    PubMed

    Gale, William G; Harris, Benjamin H; Levine, Ruth

    2012-01-01

    This article highlights the prevalence and economic outcomes of financial illiteracy among American households, and reviews previous research that examines how improving financial literacy affects household saving. Analysis of the research literature suggests that previous financial literacy efforts have yielded mixed results. Evidence suggests that interventions provided for employees in the workplace have helped increase household saving, but estimates of the magnitude of the impact vary widely. For financial education initiatives targeted to other groups, the evidence is much more ambiguous, suggesting a need for more econometrically rigorous evaluations.

  12. Balancing the present and the future: a study of contraceptive use in Calcutta's slums.

    PubMed

    Dutta, Mousumi; Husain, Zakir

    2011-01-01

    Calcutta, an important metropolitan city in eastern India, has a large slum population. Despite the poor economic status of this population, analysis of DHS data (2004-2005) reveals that contraceptive use levels in Calcutta slums is quite high, with a large proportion preferring terminal methods. Econometric analysis reveals that cultural factors are important determinants of contraceptive use. Results also indicate that respondents attempt to balance current needs (by trying to limit family size through use of contraceptives) but also try to provide for the future (by having at least one son before adopting family planning methods). PMID:21677526

  13. Pre- and postnatal drivers of childhood intelligence: evidence from Singapore.

    PubMed

    Pacheco, Gail; Hedges, Mary; Schilling, Chris; Morton, Susan

    2013-01-01

    This study seeks to investigate what influences intelligence in early childhood. The Singapore Cohort Study of the Risk Factors of Myopia (SCORM) is used to assess determinants of childhood IQ and changes in IQ. This longitudinal data set, collected in 1999, includes a wealth of demographic, socioeconomic and prenatal characteristics. The richness of the data allows various econometric approaches to be employed, including the use of ordered and multinomial logit analysis. Mother's education is found to be a consistent and key determinant of childhood IQ. Father's education and school quality are found to be key drivers for increasing IQ levels above the average sample movement.

  14. Migration plans and hours of work in Malaysia.

    PubMed

    Gillin, E D; Sumner, D A

    1985-01-01

    "This article describes characteristics of prospective migrants in the Malaysian Family Life Survey and investigates how planning to move affects hours of work. [The authors] use ideas about intertemporal substitution...to discuss the response to temporary and permanent wage expectations on the part of potential migrants. [An] econometric section presents reduced-form estimates for wage rates and planned migration equations and two-stage least squares estimates for hours of work. Men currently planning a move were found to work fewer hours. Those originally planning only a temporary stay at their current location work more hours."

  15. Stochastic Calculus and Differential Equations for Physics and Finance

    NASA Astrophysics Data System (ADS)

    McCauley, Joseph L.

    2013-02-01

    1. Random variables and probability distributions; 2. Martingales, Markov, and nonstationarity; 3. Stochastic calculus; 4. Ito processes and Fokker-Planck equations; 5. Selfsimilar Ito processes; 6. Fractional Brownian motion; 7. Kolmogorov's PDEs and Chapman-Kolmogorov; 8. Non Markov Ito processes; 9. Black-Scholes, martingales, and Feynman-Katz; 10. Stochastic calculus with martingales; 11. Statistical physics and finance, a brief history of both; 12. Introduction to new financial economics; 13. Statistical ensembles and time series analysis; 14. Econometrics; 15. Semimartingales; References; Index.

  16. Volumetric Pricing of Agricultural Water Supplies: A Case Study

    NASA Astrophysics Data System (ADS)

    Griffin, Ronald C.; Perry, Gregory M.

    1985-07-01

    Models of water consumption by rice producers are conceptualized and then estimated using cross-sectional time series data obtained from 16 Texas canal operators for the years 1977-1982. Two alternative econometric models demonstrate that both volumetric and flat rate water charges are strongly and inversely related to agricultural water consumption. Nonprice conservation incentives accompanying flat rates are hypothesized to explain the negative correlation of flat rate charges and water consumption. Application of these results suggests that water supply organizations in the sample population converting to volumetric pricing will generally reduce water consumption.

  17. International migration and falling into the income 'safety net': social assistance among foreign citizens in Sweden.

    PubMed

    Gustafsson, B

    1986-06-01

    The author focuses on public assistance payments to international immigrants in Sweden. "One object of the article is to give a statistical overview of the subject; another is to discuss reasons why international migrants receive social assistance more frequently than others. The latter leads to the formulation of econometric models and the estimation for immigrants with different backgrounds." It is found that "the number of immigrants receiving social assistance has increased since the mid-1960s. We also found that immigrants are considerably more frequent recipients of social assistance than others...." (SUMMARY IN FRE AND SPA) PMID:12159649

  18. Within-family variation in obesity.

    PubMed

    Price, Joseph; Swigert, Jeffrey

    2012-12-01

    We use data from the Children of the National Longitudinal Survey of Youth 1979 to document the degree to which childhood obesity varies among siblings. We find considerable differences in body weight between siblings with over half of the siblings differing by more than 20 age-specific percentiles in terms of the body mass index. Even among identical twins, there is an average BMI difference of 12 percentiles. This variation is important for the use of econometric approaches that involve sibling comparisons. PMID:22640530

  19. Risk Assessment Methodology Based on the NISTIR 7628 Guidelines

    SciTech Connect

    Abercrombie, Robert K; Sheldon, Frederick T; Hauser, Katie R; Lantz, Margaret W; Mili, Ali

    2013-01-01

    Earlier work describes computational models of critical infrastructure that allow an analyst to estimate the security of a system in terms of the impact of loss per stakeholder resulting from security breakdowns. Here, we consider how to identify, monitor and estimate risk impact and probability for different smart grid stakeholders. Our constructive method leverages currently available standards and defined failure scenarios. We utilize the National Institute of Standards and Technology (NIST) Interagency or Internal Reports (NISTIR) 7628 as a basis to apply Cyberspace Security Econometrics system (CSES) for comparing design principles and courses of action in making security-related decisions.

  20. Method for selecting FBR development strategies in the presence of uncertainty

    SciTech Connect

    Fraley, D.W.; Burnham, J.B.

    1981-12-01

    This report describes the methods used to probabilistically analyze data related to the uranium supply the FBR's competitive dates, development strategies' time and costs, and economic benefits. It also describes the econometric methods used to calculate the economic risks of mistiming the development. Seven strategies for developing the FBR are analyzed. The various measures of a strategy's performance - timing, costs, benefits, and risks - are combined into several criteria which are used to evaluate the seven strategies. Methods are described for selecting a strategy based on a number of alternative criteria.

  1. Measuring the costs and benefits of conservation programs

    SciTech Connect

    Einhorn, M.A.

    1985-07-25

    A step-by-step analysis of the effects of utility-sponsored conservation promoting programs begins by identifying several factors which will reduce a program's effectiveness. The framework for measuring cost savings and designing a conservation program needs to consider the size of appliance subsidies, what form incentives should take, and how will customer behavior change as a result of incentives. Continual reevaluation is necessary to determine whether to change the size of rebates or whether to continue the program. Analytical tools for making these determinations are improving as conceptual breakthroughs in econometrics permit more rigorous analysis. 5 figures.

  2. Is inequality harmful for the environment? An empirical analysis applied to developing and transition countries.

    PubMed

    Clement, Matthieu; Meunie, Andre

    2010-01-01

    The object of this article is to examine the relation between social inequalities and pollution. First of all we provide a survey demonstrating that, from a theoretical point of view, a decrease in inequality has an uncertain impact on the environment. Second, on the basis of these conceptual considerations, we propose an econometric analysis based on panel data (fixed-effects and dynamic panel data models) concerning developing and transition countries for the 1988-2003 period. We examine specifically the effect of inequality on the extent of local pollution (sulphur dioxide emissions and organic water pollution) by integrating the Gini index into the formulation of the environmental Kuznets' curve. PMID:21280382

  3. Statistical and Economic Techniques for Site-specific Nematode Management.

    PubMed

    Liu, Zheng; Griffin, Terry; Kirkpatrick, Terrence L

    2014-03-01

    Recent advances in precision agriculture technologies and spatial statistics allow realistic, site-specific estimation of nematode damage to field crops and provide a platform for the site-specific delivery of nematicides within individual fields. This paper reviews the spatial statistical techniques that model correlations among neighboring observations and develop a spatial economic analysis to determine the potential of site-specific nematicide application. The spatial econometric methodology applied in the context of site-specific crop yield response contributes to closing the gap between data analysis and realistic site-specific nematicide recommendations and helps to provide a practical method of site-specifically controlling nematodes.

  4. The development and utilization of solar photovoltaic cells: An assessment of the potential for a new energy technology

    NASA Technical Reports Server (NTRS)

    Cyr, K. J.

    1981-01-01

    The Government set the goal of accelerating the adaptation of photovoltaics by reducing system costs to a competitive level and overcoming the technical, institutional, legal, environmental, and social barriers impeding the diffusion of photovoltaic technology. The technology of silicon solar arrays was examined and the status of development efforts are reviewed. The political, legal, economic, social, and environmental issues are discussed, and several methods for selecting development projects are described. A number of market forecasting techniques, including time trend, judgemental, and econometric methods, were reviewed, and the results of these models are presented.

  5. The economic and fiscal impact of aging retirees on a small rural region.

    PubMed

    Stallmann, J I; Deller, S C; Shields, M

    1999-10-01

    The literature on the economic and fiscal impacts of in-migrating retirees on rural communities tends to concentrate on the younger, more affluent newly retired. This article addresses an issue not systematically addressed: the impacts on communities as these retirees age. Households that vary by age have different income levels and expenditure patterns. A county-level, conjoined input-output/econometrics simulation model is used to assess the impacts of an aging rural population. As hypothesized, the magnitude and nature of impacts is in direct proportion to relative household size and income level. The increased local government expenditures are covered by the increased revenues, even as retirees age.

  6. Sample selection versus two-part models revisited: the case of female smoking and drinking.

    PubMed

    Madden, David

    2008-03-01

    There is a well-established debate between Heckman sample selection and two-part models in health econometrics, particularly when no obvious exclusion restrictions are available. Most of this debate has focussed on the application of these models to health care expenditure. This paper revisits the debate in the context of female smoking and drinking, and evaluates the two approaches on three grounds: theoretical, practical and statistical. The two-part model is generally favoured but it is stressed that this comparison should be carried out on a case-by-case basis.

  7. A statistical test of the stability assumption inherent in empirical estimates of economic depreciation.

    PubMed

    Shriver, K A

    1986-01-01

    Realistic estimates of economic depreciation are required for analyses of tax policy, economic growth and production, and national income and wealth. THe purpose of this paper is to examine the stability assumption underlying the econometric derivation of empirical estimates of economic depreciation for industrial machinery and and equipment. The results suggest that a reasonable stability of economic depreciation rates of decline may exist over time. Thus, the assumption of a constant rate of economic depreciation may be a reasonable approximation for further empirical economic analyses.

  8. What is Learned from Longitudinal Studies of Advertising and Youth Drinking and Smoking? A Critical Assessment

    PubMed Central

    Nelson, Jon P

    2010-01-01

    This paper assesses the methodology employed in longitudinal studies of advertising and youth drinking and smoking behaviors. These studies often are given a causal interpretation in the psychology and public health literatures. Four issues are examined from the perspective of econometrics. First, specification and validation of empirical models. Second, empirical issues associated with measures of advertising receptivity and exposure. Third, potential endogeneity of receptivity and exposure variables. Fourth, sample selection bias in baseline and follow-up surveys. Longitudinal studies reviewed include 20 studies of youth drinking and 26 studies of youth smoking. Substantial shortcomings are found in the studies, which preclude a causal interpretation. PMID:20617009

  9. Granger causality and transfer entropy are equivalent for Gaussian variables.

    PubMed

    Barnett, Lionel; Barrett, Adam B; Seth, Anil K

    2009-12-01

    Granger causality is a statistical notion of causal influence based on prediction via vector autoregression. Developed originally in the field of econometrics, it has since found application in a broader arena, particularly in neuroscience. More recently transfer entropy, an information-theoretic measure of time-directed information transfer between jointly dependent processes, has gained traction in a similarly wide field. While it has been recognized that the two concepts must be related, the exact relationship has until now not been formally described. Here we show that for Gaussian variables, Granger causality and transfer entropy are entirely equivalent, thus bridging autoregressive and information-theoretic approaches to data-driven causal inference.

  10. DDT (2,2,bis(p-chlorophenyl) 1,1,1-trichloroethane) induced structural changes in adrenal glands of rats

    SciTech Connect

    Chowdhury, A.R.; Gautam, A.K.; Venkatakrishna-Bhatt, H. )

    1990-08-01

    Oldest chlorinated hydrocarbon insecticide, DDT was used widely to control pest and vector borne diseases in developing countries. Malaria and vector borne diseases can be econometrically controlled by DDT. Chronic and acute exposures to DDT result in systemic disorders in human as well as this confirmed in animals. Experimental study revealed that DDT caused the structural and functional changes in thyroid and reproductive system. The effects of DDT on adrenal glands are not well documented. Therefore this experimental investigation was undertaken to evaluate the histomorphological changes of adrenal gland after the treatment with DDT in rats.

  11. The impact of new drug launches on longevity: evidence from longitudinal, disease-level data from 52 countries, 1982-2001.

    PubMed

    Lichtenberg, Frank R

    2005-03-01

    We perform an econometric analysis of the effect of new drug launches on longevity, using data from the IMS Health Drug Launches database and the WHO Mortality Database. Under conservative assumptions, our estimates imply that the average annual increase in life expectancy of the entire population resulting from new drug launches is about one week, and that the incremental cost effectiveness ratio (new drug expenditure per person per year divided by the increase in life-years per person per year attributable to new drug launches) is about $6750--far lower than most estimates of the value of a statistical life-year.

  12. Genetic markers as instrumental variables

    PubMed Central

    von Hinke, Stephanie; Davey Smith, George; Lawlor, Debbie A.; Propper, Carol; Windmeijer, Frank

    2016-01-01

    The use of genetic markers as instrumental variables (IV) is receiving increasing attention from economists, statisticians, epidemiologists and social scientists. Although IV is commonly used in economics, the appropriate conditions for the use of genetic variants as instruments have not been well defined. The increasing availability of biomedical data, however, makes understanding of these conditions crucial to the successful use of genotypes as instruments. We combine the econometric IV literature with that from genetic epidemiology, and discuss the biological conditions and IV assumptions within the statistical potential outcomes framework. We review this in the context of two illustrative applications. PMID:26614692

  13. The relationship between health expenditures and the age structure of the population in OECD countries.

    PubMed

    O'Connell, J M

    1996-01-01

    The purpose of this study was to analyse national health expenditures of OECD countries relative to their age structures. Using econometric techniques designed to analyse cross-sectional time series data, the ageing of the population was found to affect health spending in several countries while having no effect in others. In addition, the effect of income on health spending was lower than that generally reported in the literature. These findings suggest that unobserved country-specific factors play a major role in determining the amount of resources allocated to health services in a country. Such factors also determine if the ageing of the population with increased health spending.

  14. An investigation on the determinants of carbon emissions for OECD countries: empirical evidence from panel models robust to heterogeneity and cross-sectional dependence.

    PubMed

    Dogan, Eyup; Seker, Fahri

    2016-07-01

    This empirical study analyzes the impacts of real income, energy consumption, financial development and trade openness on CO2 emissions for the OECD countries in the Environmental Kuznets Curve (EKC) model by using panel econometric approaches that consider issues of heterogeneity and cross-sectional dependence. Results from the Pesaran CD test, the Pesaran-Yamagata's homogeneity test, the CADF and the CIPS unit root tests, the LM bootstrap cointegration test, the DSUR estimator, and the Emirmahmutoglu-Kose Granger causality test indicate that (i) the panel time-series data are heterogeneous and cross-sectionally dependent; (ii) CO2 emissions, real income, the quadratic income, energy consumption, financial development and openness are integrated of order one; (iii) the analyzed data are cointegrated; (iv) the EKC hypothesis is validated for the OECD countries; (v) increases in openness and financial development mitigate the level of emissions whereas energy consumption contributes to carbon emissions; (vi) a variety of Granger causal relationship is detected among the analyzed variables; and (vii) empirical results and policy recommendations are accurate and efficient since panel econometric models used in this study account for heterogeneity and cross-sectional dependence in their estimation procedures.

  15. Cost-effectiveness analysis for health communication programs.

    PubMed

    Guilkey, David K; Hutchinson, Paul; Lance, Peter

    2006-01-01

    This article describes methods for analyzing the cost-effectiveness of health communication programs, focusing in particular on estimating program effectiveness with econometric methods that address experimental and quasi-experimental designs (and their absence), national or subnational program coverage, and endogenously targeting of programs. Experimental designs provide a gold standard for assessing effectiveness but are seldom feasible for large-scale health communication programs. Even in the absence of such designs, however, fairly simple methods can be used to examine intermediate objectives, such as program reach, which in turn can be linked to program costs to estimate cost effectiveness. When moving beyond program reach to behavioral or other outcome measures, such as contraceptive use or fertility, or when faced with full-coverage national programs, more elaborate data and methods are required. We discuss data requirements and assumptions necessary in each case, focusing on single-equation multiple regression models, structural equations models, and fixed effects estimators for use with longitudinal data, and then describing how cost information can be incorporated into econometric models so as to get measures of the cost-effectiveness of communication interventions.

  16. Ageing and health-care expenditure: the red herring argument revisited.

    PubMed

    Seshamani, Meena; Gray, Alastair

    2004-04-01

    Zweifel and colleagues have previously proposed that proximity to death is a more important influence on health-care costs than age, suggesting that demographic change per se will not have a large impact on future aggregate health expenditure. However, issues of econometric methodology have led to challenges of the robustness of these findings. This paper revisits the analysis. Using a longitudinal hospital data set from Oxfordshire, England, the two-step Heckman model from the Zweifel study is first replicated, to find that neither age nor proximity to death have a significant effect on hospital costs. Econometric problems with the model are demonstrated, and instead a two-part model shows both age and proximity to death to have significant effects on quarterly hospital costs. Cost predictions, calculated with bootstrapped 95% confidence intervals, further demonstrate that while age may significantly affect quarterly costs, these cost changes are small compared to the tripling of quarterly costs that occurs with approaching death in the last year of life. The analyses show the importance of model selection to properly assess the determinants of health-care expenditures.

  17. Incomes, Attitudes, and Occurrences of Invasive Species: An Application to Signal Crayfish in Sweden

    NASA Astrophysics Data System (ADS)

    Gren, Ing-Marie; Campos, Monica; Edsman, Lennart; Bohman, Patrik

    2009-02-01

    This article analyzes and carries out an econometric test of the explanatory power of economic and attitude variables for occurrences of the nonnative signal crayfish in Swedish waters. Signal crayfish are a carrier of plague which threatens the native noble crayfish with extinction. Crayfish are associated with recreational and cultural traditions in Sweden, which may run against environmental preferences for preserving native species. Econometric analysis is carried out using panel data at the municipality level with economic factors and attitudes as explanatory variables, which are derived from a simple dynamic harvesting model. A log-normal model is used for the regression analysis, and the results indicate significant impacts on occurrences of waters with signal crayfish of changes in both economic and attitude variables. Variables reflecting environmental and recreational preferences have unexpected signs, where the former variable has a positive and the latter a negative impact on occurrences of waters with signal crayfish. These effects are, however, counteracted by their respective interaction effect with income.

  18. Handling preference heterogeneity for river services' adaptation to climate change.

    PubMed

    Andreopoulos, Dimitrios; Damigos, Dimitrios; Comiti, Francesco; Fischer, Christian

    2015-09-01

    Climate projection models for the Southern Mediterranean basin indicate a strong drought trend. This pattern is anticipated to affect a range of services derived from river ecosystems and consecutively deteriorate the sectoral outputs and household welfare. This paper aims to evaluate local residents' adaptation preferences for the Piave River basin in Italy. A Discrete Choice Experiment accounting for adaptation scenarios of the Piave River services was conducted and the collected data were econometrically analyzed using Random Parameters Logit, Latent Class and Covariance Heterogeneity models. In terms of policy-relevant outcomes, the analysis indicates that respondents are willing to pay for adaptation plans. This attitude is reflected on the compensating surplus to sustain the current state of the Piave, which corresponds to a monthly contribution of 80€ per household. From an econometric point of view, the results show that it is not sufficient to take solely into account general heterogeneity, provided that distinct treatment of the heterogeneity produces rather different welfare estimates. This implies that analysts should examine a set of criteria when deciding on how to better approach heterogeneity for each empirical data set. Overall, non-market values of environmental services should be considered when formulating cost-effective adaptation measures for river systems undergoing climate change effects and appropriate heterogeneity approximation could render these values unbiased and accurate. PMID:26119330

  19. Incomes, attitudes, and occurrences of invasive species: an application to signal crayfish in Sweden.

    PubMed

    Gren, Ing-Marie; Campos, Monica; Edsman, Lennart; Bohman, Patrik

    2009-02-01

    This article analyzes and carries out an econometric test of the explanatory power of economic and attitude variables for occurrences of the nonnative signal crayfish in Swedish waters. Signal crayfish are a carrier of plague which threatens the native noble crayfish with extinction. Crayfish are associated with recreational and cultural traditions in Sweden, which may run against environmental preferences for preserving native species. Econometric analysis is carried out using panel data at the municipality level with economic factors and attitudes as explanatory variables, which are derived from a simple dynamic harvesting model. A log-normal model is used for the regression analysis, and the results indicate significant impacts on occurrences of waters with signal crayfish of changes in both economic and attitude variables. Variables reflecting environmental and recreational preferences have unexpected signs, where the former variable has a positive and the latter a negative impact on occurrences of waters with signal crayfish. These effects are, however, counteracted by their respective interaction effect with income.

  20. The regional costs and benefits of acid rain control

    SciTech Connect

    Berkman, M.P.

    1991-01-01

    Congress recently enacted acid rain control legislation as part of the 1990 Clean Air Act Amendments following a decade-long debate among disparate regional interests. Although Congress succeeded in drafting a law acceptable to all regions, the regional costs and benefits of the legislation remain uncertain. The research presented here attempts to estimate the regional costs and benefits and the economic impacts of acid rain controls. These estimates are made using a modeling system composed of econometric, linear programming and input-output models. The econometric and linear programming components describe markets for electricity and coal. The outputs of these components including capital investment, electricity demand, and coal production are taken as exogenous inputs by a multiregional input-output model. The input-output model produces estimates of changes in final demand, gross output, and employment. The utility linear programming model also predicts sulfur dioxide emissions (an acid-rain precursor). According to model simulations, the costs of acid rain control exceed the benefits for many regions including several regions customarily thought to be the major beneficiaries of acid rain control such as New England.

  1. Adverse and Advantageous Selection in the Medicare Supplemental Market: A Bayesian Analysis of Prescription drug Expenditure.

    PubMed

    Li, Qian; Trivedi, Pravin K

    2016-02-01

    This paper develops an extended specification of the two-part model, which controls for unobservable self-selection and heterogeneity of health insurance, and analyzes the impact of Medicare supplemental plans on the prescription drug expenditure of the elderly, using a linked data set based on the Medicare Current Beneficiary Survey data for 2003-2004. The econometric analysis is conducted using a Bayesian econometric framework. We estimate the treatment effects for different counterfactuals and find significant evidence of endogeneity in plan choice and the presence of both adverse and advantageous selections in the supplemental insurance market. The average incentive effect is estimated to be $757 (2004 value) or 41% increase per person per year for the elderly enrolled in supplemental plans with drug coverage against the Medicare fee-for-service counterfactual and is $350 or 21% against the supplemental plans without drug coverage counterfactual. The incentive effect varies by different sources of drug coverage: highest for employer-sponsored insurance plans, followed by Medigap and managed medicare plans. PMID:25504934

  2. Willingness to pay for ovulation induction treatment in case of WHO II anovulation: a study using the contingent valuation method

    PubMed Central

    Poder, Thomas G; He, Jie; Simard, Catherine; Pasquier, Jean-Charles

    2014-01-01

    Objective To measure the willingness to pay (WTP) of women aged 18–45 years to receive drug treatment for ovulation induction (ie, the social value of normal cycles of ovulation for a woman of childbearing age) in order to feed the debate about the funding of fertility cares. Setting An anonymous questionnaire was used over the general population of Quebec. Participants A total of 136 subjects were recruited in three medical clinics, and 191 subjects through an online questionnaire. Method The questionnaire consisted of three parts: introduction to the problematic, socioeconomic data collection to determine factors influencing the formation of WTP, and a WTP question using the simple bid price dichotomous choice elicitation technique. The econometric estimation method is based on the “random utility theory.” Each subject responding to our questionnaire could express her uncertainty about the answer to our WTP question by choosing the answer “I do not know.” Outcome measure The WTP in Canadian dollars of women aged 18–45 years to receive drug treatment for ovulation induction. Results Results are positive and indicate an average WTP exceeding 4,800 CAD, which is much more than the drug treatment cost. There is no evidence of sample frame bias or avidity bias across the two survey modes that cannot be controlled in econometric estimates. Conclusion Medical treatment for ovulation induction is highly socially desirable in Quebec. PMID:25328385

  3. Treatment effects model for assessing disease management: measuring outcomes and strengthening program management.

    PubMed

    Wendel, Jeanne; Dumitras, Diana

    2005-06-01

    This paper describes an analytical methodology for obtaining statistically unbiased outcomes estimates for programs in which participation decisions may be correlated with variables that impact outcomes. This methodology is particularly useful for intraorganizational program evaluations conducted for business purposes. In this situation, data is likely to be available for a population of managed care members who are eligible to participate in a disease management (DM) program, with some electing to participate while others eschew the opportunity. The most pragmatic analytical strategy for in-house evaluation of such programs is likely to be the pre-intervention/post-intervention design in which the control group consists of people who were invited to participate in the DM program, but declined the invitation. Regression estimates of program impacts may be statistically biased if factors that impact participation decisions are correlated with outcomes measures. This paper describes an econometric procedure, the Treatment Effects model, developed to produce statistically unbiased estimates of program impacts in this type of situation. Two equations are estimated to (a) estimate the impacts of patient characteristics on decisions to participate in the program, and then (b) use this information to produce a statistically unbiased estimate of the impact of program participation on outcomes. This methodology is well-established in economics and econometrics, but has not been widely applied in the DM outcomes measurement literature; hence, this paper focuses on one illustrative application.

  4. Macroeconomic effects of accelerated implementation of renewable energy technologies in the US

    SciTech Connect

    Marcuse, W; Groncki, P J

    1980-02-01

    The original formulation of the Brookhaven energy system models was directed toward technology assessment for new and competing energy technologies. The Hudson-Jorgenson econometric model was originally formulated to identify the economic impacts of energy futures where energy-use projections departed markedly from historical trends. The two models were married so that the feedback effects of energy and nonenergy demand levels and nonenergy prices generated by the economic model could be reflected in the technology and fuel-mix-selection solutions of the energy model. In turn, the engineering-based energy costs, energy prices, and capital requirements for energy systems characterized in the energy model are used to override the econometric estimates based on historical data in the economic model. Recently, the coupled models have been used to address questions concerning the macroeconomic impacts of accelerating the implementation of renewable energy technologies in the United States. Of particular interest were the scenarios where (1) renewables were included which cost more than conventional alternatives now and in the future, and (2) some renewables that are initially more costly are characterized by a learning curve so that in time their costs come to equal conventional alternatives. A further analysis was done for the first case (renewables always more expensive) under conditions where (1) the incremental costs were paid by the government through deficit financing, and (2) the incremental costs were paid by consumers. This paper presents the formulation of the analysis using the combined energy system - economic model and the results of the study.

  5. An ecology of prestige in New York City: examining the relationships among population density, socio-economic status, group identity, and residential canopy cover.

    PubMed

    Grove, J Morgan; Locke, Dexter H; O'Neil-Dunne, Jarlath P M

    2014-09-01

    Several social theories have been proposed to explain the uneven distribution of vegetation in urban residential areas: population density, social stratification, luxury effect, and ecology of prestige. We evaluate these theories using a combination of demographic and socio-economic predictors of vegetative cover on all residential lands in New York City. We use diverse data sources including the City's property database, time-series demographic and socio-economic data from the US Census, and land cover data from the University of Vermont's Spatial Analysis Lab (SAL). These data are analyzed using a multi-model inferential, spatial econometrics approach. We also examine the distribution of vegetation within distinct market categories using Claritas' Potential Rating Index for Zipcode Markets (PRIZM™) database. These categories can be disaggregated, corresponding to the four social theories. We compare the econometric and categorical results for validation. Models associated with ecology of prestige theory are more effective for predicting the distribution of vegetation. This suggests that private, residential patterns of vegetation, reflecting the consumption of environmentally relevant goods and services, are associated with different lifestyles and lifestages. Further, our spatial and temporal analyses suggest that there are significant spatial and temporal dependencies that have theoretical and methodological implications for understanding urban ecological systems. These findings may have policy implications. Decision makers may need to consider how to most effectively reach different social groups in terms of messages and messengers in order to advance land management practices and achieve urban sustainability.

  6. India's cement industry: Productivity, energy efficiency and carbon emissions

    SciTech Connect

    Schumacher, Katja; Sathaye, Jayant

    1999-07-01

    Historical estimates of productivity growth in India's cement sector vary from indicating an improvement to a decline in the sector's productivity. The variance may be traced to the time period of study, source of data for analysis, and type of indices and econometric specifications used for reporting productivity growth. Analysis shows that in the twenty year period, 1973 to 1993, productivity in the aluminum sector increased by 0.8% per annum. An econometric analysis reveals that technical progress in India's cement sector has been biased towards the use of energy and capital, while it has been material and labor saving. The increase in productivity was mainly driven by a period of progress between 1983 and 1991 following partial decontrol of the cement sector in 1982. The authors examine the current changes in structure and energy efficiency in the sector. Their analysis shows that the Indian cement sector is moving towards world-best technology, which will result in fewer carbon emissions and more efficient energy use. However, substantial further energy savings and carbon reduction potentials still exist.

  7. Long-term Industrial Energy Forecasting (LIEF) model (18-sector version)

    SciTech Connect

    Ross, M.H. . Dept. of Physics); Thimmapuram, P.; Fisher, R.E.; Maciorowski, W. )

    1993-05-01

    The new 18-sector Long-term Industrial Energy Forecasting (LIEF) model is designed for convenient study of future industrial energy consumption, taking into account the composition of production, energy prices, and certain kinds of policy initiatives. Electricity and aggregate fossil fuels are modeled. Changes in energy intensity in each sector are driven by autonomous technological improvement (price-independent trend), the opportunity for energy-price-sensitive improvements, energy price expectations, and investment behavior. Although this decision-making framework involves more variables than the simplest econometric models, it enables direct comparison of an econometric approach with conservation supply curves from detailed engineering analysis. It also permits explicit consideration of a variety of policy approaches other than price manipulation. The model is tested in terms of historical data for nine manufacturing sectors, and parameters are determined for forecasting purposes. Relatively uniform and satisfactory parameters are obtained from this analysis. In this report, LIEF is also applied to create base-case and demand-side management scenarios to briefly illustrate modeling procedures and outputs.

  8. Public budgets for energy RD&D and the effects on energy intensity and pollution levels.

    PubMed

    Balsalobre, Daniel; Álvarez, Agustín; Cantos, José María

    2015-04-01

    This study, based on the N-shaped cubic model of the environmental Kuznets curve, analyzes the evolution of per capita greenhouse gas emissions (GHGpc) using not just economic growth but also public budgets dedicated to energy-oriented research development and demonstration (RD&D) and energy intensity. The empirical evidence, obtained from an econometric model of fixed effects for 28 OECD countries during 1994-2010, suggests that energy innovations help reduce GHGpc levels and mitigate the negative impact of energy intensity on environmental quality. When countries develop active energy RD&D policies, they can reduce both the rates of energy intensity and the level of GHGpc emissions. This paper incorporates a moderating variable to the econometric model that emphasizes the effect that GDP has on energy intensity. It also adds a variable that reflects the difference between countries that have made a greater economic effort in energy RD&D, which in turn corrects the GHG emissions resulting from the energy intensity of each country.

  9. Three Essays on Renewable Energy Policy and its Effects on Fossil Fuel Generation in Electricity Markets

    NASA Astrophysics Data System (ADS)

    Bowen, Eric

    In this dissertation, I investigate the effectiveness of renewable policies and consider their impact on electricity markets. The common thread of this research is to understand how renewable policy incentivizes renewable generation and how the increasing share of generation from renewables affects generation from fossil fuels. This type of research is crucial for understanding whether policies to promote renewables are meeting their stated goals and what the unintended effects might be. To this end, I use econometric methods to examine how electricity markets are responding to an influx of renewable energy. My dissertation is composed of three interrelated essays. In Chapter 1, I employ recent scholarship in spatial econometrics to assess the spatial dependence of Renewable Portfolio Standards (RPS), a prominent state-based renewable incentive. In Chapter 2, I explore the impact of the rapid rise in renewable generation on short-run generation from fossil fuels. And in Chapter 3, I assess the impact of renewable penetration on coal plant retirement decisions.

  10. What roles do contemporaneous and cumulative incomes play in the income-child health gradient for young children? Evidence from an Australian panel.

    PubMed

    Khanam, Rasheda; Nghiem, Hong Son; Connelly, Luke Brian

    2014-08-01

    The literature to date shows that children from poorer households tend to have worse health than their peers, and the gap between them grows with age. We investigate whether and how health shocks (as measured by the onset of chronic conditions) contribute to the income-child health gradient and whether the contemporaneous or cumulative effects of income play important mitigating roles. We exploit a rich panel dataset with three panel waves called the Longitudinal Study of Australian children. Given the availability of three waves of data, we are able to apply a range of econometric techniques (e.g. fixed and random effects) to control for unobserved heterogeneity. The paper makes several contributions to the extant literature. First, it shows that an apparent income gradient becomes relatively attenuated in our dataset when the cumulative and contemporaneous effects of household income are distinguished econometrically. Second, it demonstrates that the income-child health gradient becomes statistically insignificant when controlling for parental health and health-related behaviours or unobserved heterogeneity.

  11. An Ecology of Prestige in New York City: Examining the Relationships Among Population Density, Socio-economic Status, Group Identity, and Residential Canopy Cover

    NASA Astrophysics Data System (ADS)

    Grove, J. Morgan; Locke, Dexter H.; O'Neil-Dunne, Jarlath P. M.

    2014-09-01

    Several social theories have been proposed to explain the uneven distribution of vegetation in urban residential areas: population density, social stratification, luxury effect, and ecology of prestige. We evaluate these theories using a combination of demographic and socio-economic predictors of vegetative cover on all residential lands in New York City. We use diverse data sources including the City's property database, time-series demographic and socio-economic data from the US Census, and land cover data from the University of Vermont's Spatial Analysis Lab (SAL). These data are analyzed using a multi-model inferential, spatial econometrics approach. We also examine the distribution of vegetation within distinct market categories using Claritas' Potential Rating Index for Zipcode Markets (PRIZM™) database. These categories can be disaggregated, corresponding to the four social theories. We compare the econometric and categorical results for validation. Models associated with ecology of prestige theory are more effective for predicting the distribution of vegetation. This suggests that private, residential patterns of vegetation, reflecting the consumption of environmentally relevant goods and services, are associated with different lifestyles and lifestages. Further, our spatial and temporal analyses suggest that there are significant spatial and temporal dependencies that have theoretical and methodological implications for understanding urban ecological systems. These findings may have policy implications. Decision makers may need to consider how to most effectively reach different social groups in terms of messages and messengers in order to advance land management practices and achieve urban sustainability.

  12. Adaptive Elastic Net for Generalized Methods of Moments.

    PubMed

    Caner, Mehmet; Zhang, Hao Helen

    2014-01-30

    Model selection and estimation are crucial parts of econometrics. This paper introduces a new technique that can simultaneously estimate and select the model in generalized method of moments (GMM) context. The GMM is particularly powerful for analyzing complex data sets such as longitudinal and panel data, and it has wide applications in econometrics. This paper extends the least squares based adaptive elastic net estimator of Zou and Zhang (2009) to nonlinear equation systems with endogenous variables. The extension is not trivial and involves a new proof technique due to estimators lack of closed form solutions. Compared to Bridge-GMM of Caner (2009), we allow for the number of parameters to diverge to infinity as well as collinearity among a large number of variables, also the redundant parameters set to zero via a data dependent technique. This method has the oracle property, meaning that we can estimate nonzero parameters with their standard limit and the redundant parameters are dropped from the equations simultaneously. Numerical examples are used to illustrate the performance of the new method.

  13. Public budgets for energy RD&D and the effects on energy intensity and pollution levels.

    PubMed

    Balsalobre, Daniel; Álvarez, Agustín; Cantos, José María

    2015-04-01

    This study, based on the N-shaped cubic model of the environmental Kuznets curve, analyzes the evolution of per capita greenhouse gas emissions (GHGpc) using not just economic growth but also public budgets dedicated to energy-oriented research development and demonstration (RD&D) and energy intensity. The empirical evidence, obtained from an econometric model of fixed effects for 28 OECD countries during 1994-2010, suggests that energy innovations help reduce GHGpc levels and mitigate the negative impact of energy intensity on environmental quality. When countries develop active energy RD&D policies, they can reduce both the rates of energy intensity and the level of GHGpc emissions. This paper incorporates a moderating variable to the econometric model that emphasizes the effect that GDP has on energy intensity. It also adds a variable that reflects the difference between countries that have made a greater economic effort in energy RD&D, which in turn corrects the GHG emissions resulting from the energy intensity of each country. PMID:24910313

  14. Adverse and Advantageous Selection in the Medicare Supplemental Market: A Bayesian Analysis of Prescription drug Expenditure.

    PubMed

    Li, Qian; Trivedi, Pravin K

    2016-02-01

    This paper develops an extended specification of the two-part model, which controls for unobservable self-selection and heterogeneity of health insurance, and analyzes the impact of Medicare supplemental plans on the prescription drug expenditure of the elderly, using a linked data set based on the Medicare Current Beneficiary Survey data for 2003-2004. The econometric analysis is conducted using a Bayesian econometric framework. We estimate the treatment effects for different counterfactuals and find significant evidence of endogeneity in plan choice and the presence of both adverse and advantageous selections in the supplemental insurance market. The average incentive effect is estimated to be $757 (2004 value) or 41% increase per person per year for the elderly enrolled in supplemental plans with drug coverage against the Medicare fee-for-service counterfactual and is $350 or 21% against the supplemental plans without drug coverage counterfactual. The incentive effect varies by different sources of drug coverage: highest for employer-sponsored insurance plans, followed by Medigap and managed medicare plans.

  15. Macro policy responses to oil booms and busts in the United Arab Emirates

    SciTech Connect

    Al-Mutawa, A.K.

    1991-01-01

    The effects of oil shocks and macro policy changes in the United Arab Emirates are analyzed. A theoretical model is developed within the framework of the Dutch Disease literature. It contains four unique features that are applicable to the United Arab Emirates' economy. There are: (1) the presence of a large foreign labor force; (2) OPEC's oil export quotas; (3) the division of oil profits; and (4) the important role of government expenditures. The model is then used to examine the welfare effects of the above-mentioned shocks. An econometric model is then specified that conforms to the analytical model. In the econometric model the method of principal components' is applied owing to the undersized sample data. The principal components methodology is used in both the identification testing and the estimation of the structural equations. The oil and macro policy shocks are then simulated. The simulation results show that an oil-quantity boom leads to a higher welfare gain than an oil-price boom. Under certain circumstances, this finding is also confirmed by the comparative statistics that follow from the analytical model.

  16. What roles do contemporaneous and cumulative incomes play in the income-child health gradient for young children? Evidence from an Australian panel.

    PubMed

    Khanam, Rasheda; Nghiem, Hong Son; Connelly, Luke Brian

    2014-08-01

    The literature to date shows that children from poorer households tend to have worse health than their peers, and the gap between them grows with age. We investigate whether and how health shocks (as measured by the onset of chronic conditions) contribute to the income-child health gradient and whether the contemporaneous or cumulative effects of income play important mitigating roles. We exploit a rich panel dataset with three panel waves called the Longitudinal Study of Australian children. Given the availability of three waves of data, we are able to apply a range of econometric techniques (e.g. fixed and random effects) to control for unobserved heterogeneity. The paper makes several contributions to the extant literature. First, it shows that an apparent income gradient becomes relatively attenuated in our dataset when the cumulative and contemporaneous effects of household income are distinguished econometrically. Second, it demonstrates that the income-child health gradient becomes statistically insignificant when controlling for parental health and health-related behaviours or unobserved heterogeneity. PMID:23780648

  17. India's Fertilizer Industry: Productivity and Energy Efficiency

    SciTech Connect

    Schumacher, K.; Sathaye, J.

    1999-07-01

    Historical estimates of productivity growth in India's fertilizer sector vary from indicating an improvement to a decline in the sector's productivity. The variance may be traced to the time period of study, source of data for analysis, and type of indices and econometric specifications used for reporting productivity growth. Our analysis shows that in the twenty year period, 1973 to 1993, productivity in the fertilizer sector increased by 2.3% per annum. An econometric analysis reveals that technical progress in India's fertilizer sector has been biased towards the use of energy, while it has been capital and labor saving. The increase in productivity took place during the era of total control when a retention price system and distribution control was in effect. With liberalization of the fertilizer sector and reduction of subsidies productivity declined substantially since the early 1990s. Industrial policies and fiscal incentives still play a major role in the Indian fertilizer sect or. As substantial energy savings and carbon reduction potential exists, energy policies can help overcome barriers to the adoption of these measures in giving proper incentives and correcting distorted prices.

  18. An ecology of prestige in New York City: examining the relationships among population density, socio-economic status, group identity, and residential canopy cover.

    PubMed

    Grove, J Morgan; Locke, Dexter H; O'Neil-Dunne, Jarlath P M

    2014-09-01

    Several social theories have been proposed to explain the uneven distribution of vegetation in urban residential areas: population density, social stratification, luxury effect, and ecology of prestige. We evaluate these theories using a combination of demographic and socio-economic predictors of vegetative cover on all residential lands in New York City. We use diverse data sources including the City's property database, time-series demographic and socio-economic data from the US Census, and land cover data from the University of Vermont's Spatial Analysis Lab (SAL). These data are analyzed using a multi-model inferential, spatial econometrics approach. We also examine the distribution of vegetation within distinct market categories using Claritas' Potential Rating Index for Zipcode Markets (PRIZM™) database. These categories can be disaggregated, corresponding to the four social theories. We compare the econometric and categorical results for validation. Models associated with ecology of prestige theory are more effective for predicting the distribution of vegetation. This suggests that private, residential patterns of vegetation, reflecting the consumption of environmentally relevant goods and services, are associated with different lifestyles and lifestages. Further, our spatial and temporal analyses suggest that there are significant spatial and temporal dependencies that have theoretical and methodological implications for understanding urban ecological systems. These findings may have policy implications. Decision makers may need to consider how to most effectively reach different social groups in terms of messages and messengers in order to advance land management practices and achieve urban sustainability. PMID:25034751

  19. Economic-based projections of future land use in the conterminous United States under alternative policy scenarios.

    PubMed

    Radeloff, V C; Nelson, E; Plantinga, A J; Lewis, D J; Helmers, D; Lawler, J J; Withey, J C; Beaudry, F; Martinuzzi, S; Butsic, V; Lonsdorf, E; White, D; Polasky, S

    2012-04-01

    Land-use change significantly contributes to biodiversity loss, invasive species spread, changes in biogeochemical cycles, and the loss of ecosystem services. Planning for a sustainable future requires a thorough understanding of expected land use at the fine spatial scales relevant for modeling many ecological processes and at dimensions appropriate for regional or national-level policy making. Our goal was to construct and parameterize an econometric model of land-use change to project future land use to the year 2051 at a fine spatial scale across the conterminous United States under several alternative land-use policy scenarios. We parameterized the econometric model of land-use change with the National Resource Inventory (NRI) 1992 and 1997 land-use data for 844 000 sample points. Land-use transitions were estimated for five land-use classes (cropland, pasture, range, forest, and urban). We predicted land-use change under four scenarios: business-as-usual, afforestation, removal of agricultural subsidies, and increased urban rents. Our results for the business-as-usual scenario showed widespread changes in land use, affecting 36% of the land area of the conterminous United States, with large increases in urban land (79%) and forest (7%), and declines in cropland (-16%) and pasture (-13%). Areas with particularly high rates of land-use change included the larger Chicago area, parts of the Pacific Northwest, and the Central Valley of California. However, while land-use change was substantial, differences in results among the four scenarios were relatively minor. The only scenario that was markedly different was the afforestation scenario, which resulted in an increase of forest area that was twice as high as the business-as-usual scenario. Land-use policies can affect trends, but only so much. The basic economic and demographic factors shaping land-use changes in the United States are powerful, and even fairly dramatic policy changes, showed only moderate

  20. Competitive electricity markets, prices and generator entry and exit

    NASA Astrophysics Data System (ADS)

    Ethier, Robert George

    The electric power industry in the United States is quickly being deregulated and restructured. In the past, new electric generation capacity was added by regulated utilities to meet forecasted demand levels and maintain reserve margins. With competitive wholesale generation, investment will be the responsibility of independent private investors. Electricity prices will assume the coordinating function which has until recently been the responsibility of regulatory agencies. Competitive prices will provide the entry and exit signals for generators in the future. Competitive electricity markets have a distinctive price formation process, and thus require a specialized price model. A mean-reverting price process with stochastic jumps is proposed as an appropriate long-run price process for annual electricity prices. This price process is used to develop an analytic real options model for private investment decisions. The required recursive infinite series solutions have not been widely used for real option models. Entry thresholds and asset values for competitive wholesale electricity markets, and exit decisions for plants with significant retirement costs (i.e. nuclear power plants), are examined. The proposed model results in significantly lower trigger prices for both entry and exit decisions, and higher asset values, when compared with other standard models. The model is used to show that the incentives for retiring a nuclear plant are very sensitive to the treatment of decommissioning costs (e.g. if plant owners do not face full decommissioning costs, retirement decisions may be economically premature.) An econometric model of short-run price behavior is estimated by the method of maximum likelihood using daily electricity prices from markets in the USA and Australia. The model specifies two mean reverting price processes with stochastic Markov switching between the regimes, which allows discontinuous jumps in electricity prices. Econometric tests show that a two

  1. Robust estimation procedure in panel data model

    SciTech Connect

    Shariff, Nurul Sima Mohamad; Hamzah, Nor Aishah

    2014-06-19

    The panel data modeling has received a great attention in econometric research recently. This is due to the availability of data sources and the interest to study cross sections of individuals observed over time. However, the problems may arise in modeling the panel in the presence of cross sectional dependence and outliers. Even though there are few methods that take into consideration the presence of cross sectional dependence in the panel, the methods may provide inconsistent parameter estimates and inferences when outliers occur in the panel. As such, an alternative method that is robust to outliers and cross sectional dependence is introduced in this paper. The properties and construction of the confidence interval for the parameter estimates are also considered in this paper. The robustness of the procedure is investigated and comparisons are made to the existing method via simulation studies. Our results have shown that robust approach is able to produce an accurate and reliable parameter estimates under the condition considered.

  2. The impact of policy on hospital productivity: a time series analysis of Dutch hospitals.

    PubMed

    Blank, Jos L T; Eggink, Evelien

    2014-06-01

    The health care industry, in particular the hospital industry, is under an increasing degree of pressure, by an ageing population, advancing expensive medical technology a shrinking labor. The pressure on hospitals is further increased by the planned budget cuts in public spending by many current administrations as a result of the economic and financial crises. However, productivity increases may alleviate these problems. Therefore we study whether productivity in the hospital sector is growing, and whether this productivity growth can be influenced by government policy. Using an econometric time series analysis of the hospital sector in the Netherlands, productivity is estimated for the period 1972-2010. Then, productivity is linked to the different regulation regimes during that period, ranging from output funding in the 1970s to the current liberalized hospital market. The results indicate that the average productivity of the hospital sector in different periods differs and that these differences are related to the structure of regulation in those periods. PMID:24258183

  3. Impacts of Weather Shocks on Murder and Drug Cartel Violence in Mexico

    NASA Astrophysics Data System (ADS)

    Miguel, E.; Hsiang, S. M.; Burke, M.; Gonzalez, F.; Baysan, C.

    2014-12-01

    We estimate impacts of weather shocks on several dimensions of violence in Mexico during 1990-2010, using disaggregated data at the state-by-month level. Controlling for location and time fixed effects, we show that higher than normal temperatures lead to: (i) higher total murder rates, (ii) higher rates of drug cartel related murders, and (iii) higher suicide rates. The effects of high temperatures on inter-personal violence (murders) and on inter-group violence (drug cartel related murders) are large, statistically significant and similar to those found in other recent settings. The use of panel data econometric methods to examine the effect of weather on suicide incidence is novel. We assess the role of economic channels (i.e., agricultural production affected by weather) and conclude that they cannot account for most of the estimated impacts, suggesting that other mechanisms, including psychological explanations, are likely to be important in this setting.

  4. Forecasting carbon dioxide emissions.

    PubMed

    Zhao, Xiaobing; Du, Ding

    2015-09-01

    This study extends the literature on forecasting carbon dioxide (CO2) emissions by applying the reduced-form econometrics approach of Schmalensee et al. (1998) to a more recent sample period, the post-1997 period. Using the post-1997 period is motivated by the observation that the strengthening pace of global climate policy may have been accelerated since 1997. Based on our parameter estimates, we project 25% reduction in CO2 emissions by 2050 according to an economic and population growth scenario that is more consistent with recent global trends. Our forecasts are conservative due to that we do not have sufficient data to fully take into account recent developments in the global economy.

  5. Effects of urban growth controls on intercity commuting.

    PubMed

    Ogura, Laudo M

    2010-01-01

    This paper presents an empirical study of the effects of urban growth controls on the intercity commuting of workers. Growth controls (land use regulations that attempt to restrict population growth and urban sprawl) have increased housing prices and diverted population growth to uncontrolled cities. It has been suggested that resulting changes in local labour supply might stimulate intercity commuting from uncontrolled to controlled cities. To test this hypothesis, a gravity model of commuting flows between places in California is estimated using alternative econometric methods (OLS, Heckman selection and count-data). The possibility of spatial dependence in commuting flows is also taken into consideration. Results suggest larger commuting flows to destination places that restrict residential growth. PMID:20722227

  6. Unequal Recovery? Federal Resource Distribution after a Midwest Flood Disaster

    PubMed Central

    Muñoz, Cristina E.; Tate, Eric

    2016-01-01

    Following severe flooding in 2008, three Iowa communities acquired over 1000 damaged properties to support disaster recovery and mitigation. This research applies a distributive justice framework to analyze the distribution of disaster recovery funds for property acquisition. Two research questions drive the analysis: (1) how does recovery vary by acquisition funding source; and (2) what is the relationship between recovery and vulnerable populations? Through spatial econometric modeling, relative recovery is compared between two federal programs that funded the acquisitions, and across socially vulnerable populations. The results indicate both distributive and temporal inequalities in the allocation of federal recovery funds. In particular, Latino and elderly populations were associated with lower recovery rates. Recommendations for future research in flood recovery and acquisitions are provided. PMID:27196921

  7. Identifying peer effects using spatial analysis: the role of peers on risky sexual behavior

    PubMed Central

    2014-01-01

    This paper explores the role of peer effects on early sexual debut for a sample of adolescents using data from the National Longitudinal Study on Adolescent Health (Add Health). Most studies analyzing peer influences ignore the “reflection” problem that occurs with studying peer effects. To address the reflection problem, this paper employs a spatial econometric approach to estimate a social interactions model. This is the first study in the literature on adolescent risky sexual behavior to use this approach to estimate peer effects. Similar to other research on peer effects and adolescent risky sexual behavior, this paper finds the existence of peer effects. However, the more vital outcome from this study is that older and male peers increase the likelihood of adolescent early sexual debut, while peers whose mothers are more open about sexual activity decrease adolescent risky sexual behavior. This methodology can help further our knowledge about the social context that influences adolescent sexual behavior. PMID:26300714

  8. ESTIMATION OF FUNCTIONALS OF SPARSE COVARIANCE MATRICES

    PubMed Central

    Fan, Jianqing; Rigollet, Philippe; Wang, Weichen

    2016-01-01

    High-dimensional statistical tests often ignore correlations to gain simplicity and stability leading to null distributions that depend on functionals of correlation matrices such as their Frobenius norm and other ℓr norms. Motivated by the computation of critical values of such tests, we investigate the difficulty of estimation the functionals of sparse correlation matrices. Specifically, we show that simple plug-in procedures based on thresholded estimators of correlation matrices are sparsity-adaptive and minimax optimal over a large class of correlation matrices. Akin to previous results on functional estimation, the minimax rates exhibit an elbow phenomenon. Our results are further illustrated in simulated data as well as an empirical study of data arising in financial econometrics. PMID:26806986

  9. Benchmarking in municipal solid waste recycling.

    PubMed

    Lavee, Doron; Khatib, Mahmood

    2010-11-01

    The paper presents an analysis of the factors influencing the recycling potential of municipalities in Israel, including population size and density, geographic location, current waste levels, and current waste management system. We employ a standard regression analysis in order to develop an econometric model to predict where potential for economically efficient recycling is highest. By applying this model to readily available data, it is possible to predict with close to 90% accuracy whether or not recycling will be economically efficient in any given municipality. Government agencies working to promote advanced waste management solutions have at their disposal only limited resources and budget, and so must concentrate their efforts where they will be most effective. The paper thus provides policy-makers with a powerful tool to help direct their efforts to promote recycling at those municipalities where it is indeed optimal.

  10. Estimating the economic value of ice climbing in Hyalite Canyon: An application of travel cost count data models that account for excess zeros.

    PubMed

    Anderson, D Mark

    2010-01-01

    Recently, the sport of ice climbing has seen a dramatic increase in popularity. This paper uses the travel cost method to estimate the demand for ice climbing in Hyalite Canyon, Montana, one of the premier ice climbing venues in North America. Access to Hyalite and other ice climbing destinations have been put at risk due to liability issues, public land management agendas, and winter road conditions. To this point, there has been no analysis on the economic benefits of ice climbing. In addition to the novel outdoor recreation application, this study applies econometric methods designed to deal with "excess zeros" in the data. Depending upon model specification, per person per trip values are estimated to be in the range of $76 to $135.

  11. Optional time-of-use prices for electricity: Analysis of PG E's experimental TOU rates

    SciTech Connect

    Train, K.; Mehrez, G.

    1992-07-01

    We examine customers' time-of-use (TOU) demand for electricity and their choice between standard and TOU rate schedules. We specify an econometric model in which the customer's demand curves determine the customer's choice of rate schedule. We estimate the model on data from Pacific Gas Electric Company's experiment with optional TOU prices in the residential sector. With the model, we compare the TOU consumption and price elasticities of customers who chose TOU rates with those who chose standard rates. We also estimate the impact of the TOU rates on the utility's revenues and costs. The analysis suggests that the TOU rates offered under PG E's experiment decreased PG E's profits and hence contributed to higher general rate levels. The model can be used, however, to design optional TOU rates that increase profits and lower general rate levels.

  12. Optional time-of-use prices for electricity: Analysis of PG&E`s experimental TOU rates. Final report

    SciTech Connect

    Train, K.; Mehrez, G.

    1992-07-01

    We examine customers` time-of-use (TOU) demand for electricity and their choice between standard and TOU rate schedules. We specify an econometric model in which the customer`s demand curves determine the customer`s choice of rate schedule. We estimate the model on data from Pacific Gas & Electric Company`s experiment with optional TOU prices in the residential sector. With the model, we compare the TOU consumption and price elasticities of customers who chose TOU rates with those who chose standard rates. We also estimate the impact of the TOU rates on the utility`s revenues and costs. The analysis suggests that the TOU rates offered under PG&E`s experiment decreased PG&E`s profits and hence contributed to higher general rate levels. The model can be used, however, to design optional TOU rates that increase profits and lower general rate levels.

  13. Resources and energy: an economic analysis

    SciTech Connect

    Banks, F.E.

    1983-01-01

    Two long core chapters on oil and on nonfuel minerals, along with an exposition of the econometrics of primary commodities, give the reader a basic insight into the economic techniques and their uses. There are also chapters on coal, gas, and uranium, which include an overview of the Soviet energy sector and the Australian coal industry. The book introduces oil refining, petrochemicals, futures markets, inventories, capital costs, tin, stock-flow models, and other topics not usually handled in most economics text and reference books. There is also a short survey of iron and steel. The book concludes with the note that attempts to check inflation by monetary means in the presence of the kind of consumer and corporate debt that exists today is begging for catastrophe. Monetarism, like champagne, is good for pleasure, but very bad for business. 210 references, 47 figures, 41 tables.

  14. How Sustainable Is Government-Sponsored Desertification Rehabilitation in China? Behavior of Households to Changes in Environmental Policies

    PubMed Central

    Liu, Ning; Zhou, Lihua; Hauger, J. Scott

    2013-01-01

    This paper undertakes a direct, comprehensive assessment of the long-term sustainability of desertification rehabilitation in China under a plausible but worst case scenario where governmental interventions, in the form of payments for environmental services (PES), will cease. The analysis is based on household behavior as well as experimental data. Our econometric results highlight the main obstacles to the sustainability of rehabilitation programs subsequent to cessation of government intervention, including specific shortfalls in households’ preference for a free ride, budget constraints, attitudes, tolerance of and responsibility for desertification, and dissatisfaction with governmental actions. We conclude that desertification rehabilitation is not sustainable in China without continued governmental intervention. The results of this study are intended to support policy makers as they consider future directions for rehabilitation sustainability. PMID:24204849

  15. Constructing 1/ωα noise from reversible Markov chains

    NASA Astrophysics Data System (ADS)

    Erland, Sveinung; Greenwood, Priscilla E.

    2007-09-01

    This paper gives sufficient conditions for the output of 1/ωα noise from reversible Markov chains on finite state spaces. We construct several examples exhibiting this behavior in a specified range of frequencies. We apply simple representations of the covariance function and the spectral density in terms of the eigendecomposition of the probability transition matrix. The results extend to hidden Markov chains. We generalize the results for aggregations of AR1-processes of C. W. J. Granger [J. Econometrics 14, 227 (1980)]. Given the eigenvalue function, there is a variety of ways to assign values to the states such that the 1/ωα condition is satisfied. We show that a random walk on a certain state space is complementary to the point process model of 1/ω noise of B. Kaulakys and T. Meskauskas [Phys. Rev. E 58, 7013 (1998)]. Passing to a continuous state space, we construct 1/ωα noise which also has a long memory.

  16. Judging statistical models of individual decision making under risk using in- and out-of-sample criteria.

    PubMed

    Drichoutis, Andreas C; Lusk, Jayson L

    2014-01-01

    Despite the fact that conceptual models of individual decision making under risk are deterministic, attempts to econometrically estimate risk preferences require some assumption about the stochastic nature of choice. Unfortunately, the consequences of making different assumptions are, at present, unclear. In this paper, we compare three popular error specifications (Fechner, contextual utility, and Luce error) for three different preference functionals (expected utility, rank-dependent utility, and a mixture of those two) using in- and out-of-sample selection criteria. We find drastically different inferences about structural risk preferences across the competing functionals and error specifications. Expected utility theory is least affected by the selection of the error specification. A mixture model combining the two conceptual models assuming contextual utility provides the best fit of the data both in- and out-of-sample. PMID:25029467

  17. Investigating the effects of ICT on innovation and performance of European hospitals: an exploratory study.

    PubMed

    Arvanitis, Spyros; Loukis, Euripidis N

    2016-05-01

    Hospitals are making big investments in various types of ICT, so it is important to investigate their effects on innovation and performance. This paper presents an empirical study in this direction, based on data for 743 hospitals from 18 European countries. We specified and estimated econometrically five equations: one for product innovation, one for process innovation and three equations for the three different dimensions of (ICT-enabled) hospital performance. All five equations included various ICT-related variables reflecting ICT infrastructure and a series of important ICT applications, some of them hospital-specific, and some others of general business use, and also ICT personnel (viewed as a kind of 'soft' ICT investment), while the performance equations also included the two innovation measures.

  18. Diffusion on social networks: Survey data from rural villages in central China

    PubMed Central

    Xiong, Hang; Wang, Puqing; Zhu, Yueji

    2016-01-01

    Empirical studies on social diffusions are often restricted by the access to data of diffusion and social relations on the same objects. We present a set of first-hand data that we collected in ten rural villages in central China through household surveys. The dataset contains detailed and comprehensive data of the diffusion of an innovation, the major social relationships and the household level demographic characteristics in these villages. The data have been used to study peer effects in social diffusion using simulation models, “Peer Effects and Social Network: The Case of Rural Diffusion in Central China” [1]. They can also be used to estimate spatial econometric models. Data are supplied with this article. PMID:27054157

  19. Comparison of Wind energy production forecasts, in terms of errors and economic losses

    NASA Astrophysics Data System (ADS)

    Mestre, O.; Texier, O.; Girard, N.; Usaola, J.; Bantegnie, P.

    2009-04-01

    We compare 6 forecasts productions models on two windfarms located in France. The evaluation is made in terms of root mean square errors. The power production forecasts are the products of both physical and statistical models and cover a period of 6 months. We show that the economic performances of those models can be improved using econometric approaches, where we to minimize the cost induced by the forecast error instead of minimizing the forecast error itself. This technique relies on state of the art non-parametric estimators of conditional probability distribution functions (cpdf) of energy production at a wind farm, given the wind speed forecasts of a deterministic meteorological model. In this case, no assumption is made about the shape of the underlying laws. The economical benefits of ensemble versus deterministic wind speed forecasts are also assessed.

  20. The long-run dynamic relationship between exchange rate and its attention index: Based on DCCA and TOP method

    NASA Astrophysics Data System (ADS)

    Wang, Xuan; Guo, Kun; Lu, Xiaolin

    2016-07-01

    The behavior information of financial market plays a more and more important role in modern economic system. The behavior information reflected in INTERNET search data has already been used in short-term prediction for exchange rate, stock market return, house price and so on. However, the long-run relationship between behavior information and financial market fluctuation has not been studied systematically. Further, most traditional statistic methods and econometric models could not catch the dynamic and non-linear relationship. An attention index of CNY/USD exchange rate is constructed based on search data from 360 search engine of China in this paper. Then the DCCA and Thermal Optimal Path methods are used to explore the long-run dynamic relationship between CNY/USD exchange rate and the corresponding attention index. The results show that the significant interdependency exists and the change of exchange rate is 1-2 days lag behind the attention index.

  1. Transfer Entropy as a Log-Likelihood Ratio

    NASA Astrophysics Data System (ADS)

    Barnett, Lionel; Bossomaier, Terry

    2012-09-01

    Transfer entropy, an information-theoretic measure of time-directed information transfer between joint processes, has steadily gained popularity in the analysis of complex stochastic dynamics in diverse fields, including the neurosciences, ecology, climatology, and econometrics. We show that for a broad class of predictive models, the log-likelihood ratio test statistic for the null hypothesis of zero transfer entropy is a consistent estimator for the transfer entropy itself. For finite Markov chains, furthermore, no explicit model is required. In the general case, an asymptotic χ2 distribution is established for the transfer entropy estimator. The result generalizes the equivalence in the Gaussian case of transfer entropy and Granger causality, a statistical notion of causal influence based on prediction via vector autoregression, and establishes a fundamental connection between directed information transfer and causality in the Wiener-Granger sense.

  2. Income inequality and mortality in U.S. cities: Weighing the evidence. A response to Ash.

    PubMed

    Deaton, Angus; Lubotsky, Darren

    2009-06-01

    Deaton and Lubotsky (2003) found that the robust positive relationship across American cities between mortality and income inequality became small, insignificant, and/or non-robust once they controlled for the fraction of each city's population that is black. Ash and Robinson (Ash, M., & Robinson D. Inequality, race, and mortality in US cities: a political and econometric review. Social Science and Medicine, 2009) consider alternative weighting schemes and show that in one of our specifications, in one data period, and with one of their alternative weighting schemes, income inequality is estimated to be a risk factor. All of our other specifications, as well as their own preferred specification, replicate our original result, which is supported by the weight of the evidence. Conditional on fraction black, there is no evidence for an effect of income inequality on mortality.

  3. A fuzzy logic approach to modeling the underground economy in Taiwan

    NASA Astrophysics Data System (ADS)

    Yu, Tiffany Hui-Kuang; Wang, David Han-Min; Chen, Su-Jane

    2006-04-01

    The size of the ‘underground economy’ (UE) is valuable information in the formulation of macroeconomic and fiscal policy. This study applies fuzzy set theory and fuzzy logic to model Taiwan's UE over the period from 1960 to 2003. Two major factors affecting the size of the UE, the effective tax rate and the degree of government regulation, are used. The size of Taiwan's UE is scaled and compared with those of other models. Although our approach yields different estimates, similar patterns and leading are exhibited throughout the period. The advantage of applying fuzzy logic is twofold. First, it can avoid the complex calculations in conventional econometric models. Second, fuzzy rules with linguistic terms are easy for human to understand.

  4. Perspectives on potential agricultural and budgetary impacts from an increased use of ethanol fuels

    SciTech Connect

    England-Joseph, J.

    1990-02-01

    GAO testified on its use of an econometric model to assess the affects of expanded ethanol production in this country. This report discusses its conclusion: that expanded use of fuels would financially benefits some sectors of agriculture, increase consumer foods costs, decrease federal farm program outlays, and reduce federal motor fuel tax revenues. GAO's study was not designed to reach a conclusion on whether to extend the ethanol fuel tax exemption or the blenders income tax credit, and GAO does not take a position on these matters. GAO does believe, however, that other factors not addressed in its study, including important environmental, energy security, and economic growth consequences attributable to the use of ethanol as a fuel or a fuel blend, need to be factored into the debate on ethanol tax issues.

  5. Cognitive functioning and the probability of falls among seniors in Havana, Cuba.

    PubMed

    Trujillo, Antonio J; Hyder, Adnan A; Steinhardt, Laura C

    2011-01-01

    This article explores the connection between cognitive functioning and falls among seniors (> or = 60 years of age) in Havana, Cuba, after controlling for observable characteristics. Using the SABE (Salud, Bienestar, and Envejecimiento) cross-sectional database, we used an econometric strategy that takes advantage of available information to reduce the endogeneity problem of cognitive functioning and the individual probability of falling. Our findings suggest that memory scores and cognitive functioning impacts the probability of falling--even after controlling for demographics, socioeconomic status, existence of chronic non-communicable conditions, vision/ hearing capacity, and baseline health. Monitoring elderly with low cognitive functioning may be a cost-effective way to reduce the economic burden of falls.

  6. Quality safeguards and regulation of online pharmacies.

    PubMed

    Arruñada, Benito

    2004-04-01

    Using econometric evidence, this article confirms that distribution of medicines online is split into two market segments of very diverse quality, and identifies the factors that drive quality and quality assurance in this activity. Unlike fraudulent, 'rogue,' websites, which offer scant guarantees and usually sell just a few medicines without prescription, online pharmacies offering insurance coverage and linked to conventional pharmacies typically sell a whole range of drugs, require third-party medical prescriptions and provide abundant information to patients. It is shown that, where online pharmacies are allowed to act legally, market forces enhance quality, as private insurers require professional standards, and specialized third parties make a business of certifying them. Furthermore, older online pharmacies and those running conventional operations offer higher quality, probably because of reputational investments. Overall, this evidence supports licensing online pharmacies, especially considering that prohibiting them is ineffective against fraudulent sites.

  7. "Malaria and Primary education in Mali: a longitudinal study in the village of Donéguébougou."

    PubMed Central

    Sissoko, Mahamadou S; Toure, Ousmane B; Kamate, Paul; Berthelemy, Jean-Claude; Doumbo, Ogobara K

    2010-01-01

    This article assesses the role of malaria and certain social determinants on primary education, especially on educational achievement in Donéguébougou, a small village in a malaria-endemic area near Bamako, Mali. Field data was collected by the authors between November 2007 and June 2008 on 227 schoolchildren living in Donéguébougou. Various malaria indicators and econometric models were used to explain the variation in cognitive abilities, teachers' evaluation scores, school progression and absences. Malaria is the primary cause of school absences. Fixed effects estimates showed that asymptomatic malaria and the presence of falciparum malaria parasites had a direct correlation with educational achievement and cognitive performance. The evidence suggests that the correlation is causal. PMID:20413198

  8. Water Price as a Policy Variable in Managing Urban Water Use: Tucson, Arizona

    NASA Astrophysics Data System (ADS)

    Martin, William E.; Kulakowski, Susan

    1991-02-01

    An informal analysis of readily available time series data relevant to urban water use in Tucson, Arizona, is presented as an illustration of how a management-oriented empirical analysis, structured with general knowledge of the results of formal econometric studies, can produce useful insights for making applied price policy. Precise estimates of urban water demand price and income elasticities are not required in order to achieve conservation-oriented goals. In the Tucson experience, annual water price increases equal to the rate of inflation plus approximately the rate of change in real per capita income would have been necessary just to maintain constant rather than increasing water use. Given the actual price policy, it is not surprising that Tucson has not achieved its mandated conservation goal.

  9. Distinguishing between yield advances and yield plateaus in historical crop production trends

    PubMed Central

    Grassini, Patricio; Eskridge, Kent M.; Cassman, Kenneth G.

    2013-01-01

    Food security and land required for food production largely depend on rate of yield gain of major cereal crops. Previous projections of food security are often more optimistic than what historical yield trends would support. Many econometric projections of future food production assume compound rates of yield gain, which are not consistent with historical yield trends. Here we provide a framework to characterize past yield trends and show that linear trajectories adequately describe past yield trends, which means the relative rate of gain decreases over time. Furthermore, there is evidence of yield plateaus or abrupt decreases in rate of yield gain, including rice in eastern Asia and wheat in northwest Europe, which account for 31% of total global rice, wheat and maize production. Estimating future food production capacity would benefit from an analysis of past crop yield trends based on a robust statistical analysis framework that evaluates historical yield trajectories and plateaus. PMID:24346131

  10. Risky Business and the American Climate Prospectus: Economic Risks of Climate Change in the United States"

    NASA Astrophysics Data System (ADS)

    Gordon, K.; Houser, T.; Kopp, R. E., III; Hsiang, S. M.; Larsen, K.; Jina, A.; Delgado, M.; Muir-Wood, R.; Rasmussen, D.; Rising, J.; Mastrandrea, M.; Wilson, P. S.

    2014-12-01

    The United States faces a range of economic risks from global climate change - from increased flooding and storm damage, to climate-driven changes in crop yields and labor productivity, to heat-related strains on energy and public health systems. The Risky Business Project commissioned a groundbreaking new analysis of these and other climate risks by region of the country and sector of the economy. The American Climate Prospectus (ACP) links state-of-the-art climate models with econometric research of human responses to climate variability and cutting edge private sector risk assessment tools, the ACP offers decision-makers a data driven assessment of the specific risks they face. We describe the challenge, methods, findings, and policy implications of the national risk analysis, with particular focus on methodological innovations and novel insights.

  11. A spatiotemporal analysis of aggregate labour force behaviour by sex and age across the European Union

    NASA Astrophysics Data System (ADS)

    Elhorst, J. Paul

    2008-06-01

    This study investigates the causes of variation in age-specific male and female labour force participation rates using annual data from 154 regions across ten European Union member states for the period 1983-1997. Regional participation rates appear to be strongly correlated in time, weakly correlated in space and to parallel their national counterparts. An econometric model is designed consistent with these empirical findings. To control for potential endogeneity of the explanatory variables, we use an instrumental variables estimation scheme based on a matrix exponential spatial specification of the error terms. Many empirical studies of aggregate labour force behaviour have ignored population distribution effects, relying instead on the representative-agent paradigm. In order for representative-agent models to accurately describe aggregate behaviour, all marginal reactions of individuals to changes in aggregate variables must be identical. It turns out that this condition cannot apply to individuals across different sex/age groups.

  12. The Role of the Manufacturer in Air Transportation Planning

    NASA Technical Reports Server (NTRS)

    Mackenzie, J.

    1972-01-01

    The role of the aircraft manufacturer in the airline industry is considered. The process is illustrated by using a fictitious airline as an example--that is, a case study approach with Mid-Coast Airways serving as the example. Both in slide form and with supporting papers, a brief history of the airline, a description of its route structure and a forecast based on econometric analysis are presented. Once the forecast rationale is explained, information outlines the requirements for additional aircraft and the application of new aircraft across the system using alternative fleet plan options. The fleet plan is translated into financial summaries which indicate the relative merit of alternative aircraft types or operating plans.

  13. How to Estimate the Value of Service Reliability Improvements

    SciTech Connect

    Sullivan, Michael J.; Mercurio, Matthew G.; Schellenberg, Josh A.; Eto, Joseph H.

    2010-06-08

    A robust methodology for estimating the value of service reliability improvements is presented. Although econometric models for estimating value of service (interruption costs) have been established and widely accepted, analysts often resort to applying relatively crude interruption cost estimation techniques in assessing the economic impacts of transmission and distribution investments. This paper first shows how the use of these techniques can substantially impact the estimated value of service improvements. A simple yet robust methodology that does not rely heavily on simplifying assumptions is presented. When a smart grid investment is proposed, reliability improvement is one of the most frequently cited benefits. Using the best methodology for estimating the value of this benefit is imperative. By providing directions on how to implement this methodology, this paper sends a practical, usable message to the industry.

  14. Malnutrition, child morbidity and the family decision process.

    PubMed

    Heller, P S; Drake, W D

    1979-06-01

    A microeconomic model of the process by which infants and preschoolers are subject to malnourishment, diarrhea and other illnesses in developing countries is given. The model is econometrically based of a cross-section time-series for 1200 children from Candelaria, Colombia. Four primary issues are addressed: economic constraints and intra-family resource allocation decisions impacting on a child's nutritional and health status; the interrelationship between malnutrition, diarrhea, and other diseases; specific policy interventions (maternal-child health education, food supplementation and the encouragement of breast feeding) impacting on health and nutritional status; and the need to distinguish between the effect of different policy variables on a child's height and weight during infancy and preschool age. The observations were taken over a 7 year period during the Promotora maternal-child health program in Colombia.

  15. Short term energy forecasting with neural networks

    SciTech Connect

    McMenamin, J.S.; Monforte, F.A. )

    1998-01-01

    Artificial neural networks are beginning to be used by electric utilities to forecast hourly system loads on a day-ahead basis. This paper discusses the neural network specification in terms of conventional econometric language, providing parallel concepts for terms such as training, learning, and nodes in the hidden layer. It is shown that these models are flexible nonlinear equations that can be estimated using nonlinear least squares. It is argued that these models are especially well suited to hourly load forecasting, reflecting the presence of important nonlinearities and variable interactions. The paper proceeds to show how conventional statistics, such as the BIC and MAPE statistics can be used to select the number of nodes in the hidden layer. It is concluded that these models provide a powerful, robust and sensible approach to hourly load forecasting that will provide modest improvements in forecast accuracy relative to well-specified regression models.

  16. Social comparison and subjective well-being: does the health of others matter?

    PubMed

    Carrieri, Vincenzo

    2012-01-01

    The importance of social comparison in shaping individual utility has been widely documented by subjective well-being literature. So far, income and unemployment have been the main dimensions considered in social comparison. This paper aims to investigate whether subjective well-being is influenced by inter-personal comparison with respect to health. Thus, we study the effects of the health of others and relative health hypotheses on two measures of subjective well-being: happiness and subjective health. Using data from the Italian Health Conditions survey, we show that a high incidence of chronic conditions and disability among reference groups negatively affects both happiness and subjective health. Such effects are stronger among people in the same condition. These results, robust to different econometric specifications and estimation techniques, suggest the presence of some sympathy in individual preferences with respect to health and reveal that other people's health status serves as a benchmark to assess one's own health condition.

  17. Unequal Recovery? Federal Resource Distribution after a Midwest Flood Disaster.

    PubMed

    Muñoz, Cristina E; Tate, Eric

    2016-05-17

    Following severe flooding in 2008, three Iowa communities acquired over 1000 damaged properties to support disaster recovery and mitigation. This research applies a distributive justice framework to analyze the distribution of disaster recovery funds for property acquisition. Two research questions drive the analysis: (1) how does recovery vary by acquisition funding source; and (2) what is the relationship between recovery and vulnerable populations? Through spatial econometric modeling, relative recovery is compared between two federal programs that funded the acquisitions, and across socially vulnerable populations. The results indicate both distributive and temporal inequalities in the allocation of federal recovery funds. In particular, Latino and elderly populations were associated with lower recovery rates. Recommendations for future research in flood recovery and acquisitions are provided.

  18. Methodology for Evaluating Security Controls Based on Key Performance Indicators and Stakeholder Mission

    SciTech Connect

    Sheldon, Frederick T; Abercrombie, Robert K; Mili, Ali

    2009-01-01

    Information security continues to evolve in response to disruptive changes with a persistent focus on information-centric controls and a healthy debate about balancing endpoint and network protection, with a goal of improved enterprise/business risk management. Economic uncertainty, intensively collaborative styles of work, virtualization, increased outsourcing and ongoing compliance pressures require careful consideration and adaptation. This paper proposes a Cyberspace Security Econometrics System (CSES) that provides a measure (i.e., a quantitative indication) of reliability, performance and/or safety of a system that accounts for the criticality of each requirement as a function of one or more stakeholders interests in that requirement. For a given stakeholder, CSES reflects the variance that may exist among the stakes she/he attaches to meeting each requirement. This paper introduces the basis, objectives and capabilities for the CSES including inputs/outputs as well as the structural and mathematical underpinnings.

  19. Effects of urban growth controls on intercity commuting.

    PubMed

    Ogura, Laudo M

    2010-01-01

    This paper presents an empirical study of the effects of urban growth controls on the intercity commuting of workers. Growth controls (land use regulations that attempt to restrict population growth and urban sprawl) have increased housing prices and diverted population growth to uncontrolled cities. It has been suggested that resulting changes in local labour supply might stimulate intercity commuting from uncontrolled to controlled cities. To test this hypothesis, a gravity model of commuting flows between places in California is estimated using alternative econometric methods (OLS, Heckman selection and count-data). The possibility of spatial dependence in commuting flows is also taken into consideration. Results suggest larger commuting flows to destination places that restrict residential growth.

  20. How does social capital matter to the health status of older adults? Evidence from the China Health and Retirement Longitudinal Survey.

    PubMed

    Liu, Gordon G; Xue, Xindong; Yu, Chenxi; Wang, Yafeng

    2016-09-01

    This paper uses longitudinal data from China to examine the causal relationship between structural social capital and health among Chinese older adults. We employ various econometric strategies to control for the potential endogeneity of social capital and account for the possible contextual confounding effects by including community-level social capital. We use three indicators to measure individuals' general, physical, and mental health. Results indicate that social capital has a significant and positive effect on general and physical health. Based on our primary IV findings, a one standard-deviation increase in social capital leads to a 4.9 standard-deviation decrease in the probability of having bad health and a 2.2 standard-deviation decrease in physical activity limitations. Our results are robust to a series of sensitivity checks. Further analysis suggests heterogeneous effects by age but not by gender or area of residence. PMID:27235837

  1. The Child as Econometrician: A Rational Model of Preference Understanding in Children

    PubMed Central

    Lucas, Christopher G.; Griffiths, Thomas L.; Xu, Fei; Fawcett, Christine; Gopnik, Alison; Kushnir, Tamar; Markson, Lori; Hu, Jane

    2014-01-01

    Recent work has shown that young children can learn about preferences by observing the choices and emotional reactions of other people, but there is no unified account of how this learning occurs. We show that a rational model, built on ideas from economics and computer science, explains the behavior of children in several experiments, and offers new predictions as well. First, we demonstrate that when children use statistical information to learn about preferences, their inferences match the predictions of a simple econometric model. Next, we show that this same model can explain children's ability to learn that other people have preferences similar to or different from their own and use that knowledge to reason about the desirability of hidden objects. Finally, we use the model to explain a developmental shift in preference understanding. PMID:24667309

  2. Integrating agricultural and forestry GHG mitigation responses into general economy frameworks: Developing a family of response functions

    SciTech Connect

    Gillig, Dhazn; McCarl, Bruce A.; Sands, Ronald D.

    2004-07-01

    An econometrically estimated family of response functions is developed for characterizing potential responses to greenhouse gas mitigation policies by the agriculture and forestry sectors. The response functions are estimated based on results of an agricultural/forestry sector model. They provide estimates of sequestration and emission reductions in forestry and agriculture along with levels of sectoral production, prices, welfare, and environmental attributes given a carbon price, levels of demand for agricultural goods, and the energy price. Six alternative mitigation policies representing types of greenhouse gas offsets allowed are considered. Results indicate that the largest quantity of greenhouse gas offset consistently appears with the mitigation policy that pays for all opportunities. Restricting carbon payments (emission tax or sequestration subsidy) only to aff/deforestation or only to agricultural sequestration substantially reduces potential mitigation. Higher carbon prices lead to more sequestration, less emissions, reduced consumer and total welfare, improved environmental indicators and increased producer welfare.

  3. Climate Change and Vector-borne Diseases: An Economic Impact Analysis of Malaria in Africa

    PubMed Central

    Egbendewe-Mondzozo, Aklesso; Musumba, Mark; McCarl, Bruce A.; Wu, Ximing

    2011-01-01

    A semi-parametric econometric model is used to study the relationship between malaria cases and climatic factors in 25 African countries. Results show that a marginal change in temperature and precipitation levels would lead to a significant change in the number of malaria cases for most countries by the end of the century. Consistent with the existing biophysical malaria model results, the projected effects of climate change are mixed. Our model projects that some countries will see an increase in malaria cases but others will see a decrease. We estimate projected malaria inpatient and outpatient treatment costs as a proportion of annual 2000 health expenditures per 1,000 people. We found that even under minimal climate change scenario, some countries may see their inpatient treatment cost of malaria increase more than 20%. PMID:21556186

  4. Non performing loans (NPLs) in a crisis economy: Long-run equilibrium analysis with a real time VEC model for Greece (2001-2015)

    NASA Astrophysics Data System (ADS)

    Konstantakis, Konstantinos N.; Michaelides, Panayotis G.; Vouldis, Angelos T.

    2016-06-01

    As a result of domestic and international factors, the Greek economy faced a severe crisis which is directly comparable only to the Great Recession. In this context, a prominent victim of this situation was the country's banking system. This paper attempts to shed light on the determining factors of non-performing loans in the Greek banking sector. The analysis presents empirical evidence from the Greek economy, using aggregate data on a quarterly basis, in the time period 2001-2015, fully capturing the recent recession. In this work, we use a relevant econometric framework based on a real time Vector Autoregressive (VAR)-Vector Error Correction (VEC) model, which captures the dynamic interdependencies among the variables used. Consistent with international evidence, the empirical findings show that both macroeconomic and financial factors have a significant impact on non-performing loans in the country. Meanwhile, the deteriorating credit quality feeds back into the economy leading to a self-reinforcing negative loop.

  5. Trade, aid and migrations: some basic policy issues.

    PubMed

    Faini, R; Venturini, A

    1993-04-01

    The link between trade policy and international migration is explored using data from the United States and Europe. "We conclude that restrictive trade policies in industrialised countries have most likely added to migration pressures. We then turn to the broader question of the effects of income growth in the sending countries on the propensity to migrate. We argue that, in relatively poor countries, an increase in income will be associated with higher migration flows. For middle income countries, however, income growth will lead to lower migrations. In the medium run, therefore, the relationship between development levels, as measured by GDP per capita, and the propensity to migrate follows an inverse-U pattern. Econometric analysis of aggregate migration flows from Southern Europe provides considerable support for such conjecture."

  6. Economic development, urbanization, technological change and overweight: What do we learn from 244 Demographic and Health Surveys?

    PubMed Central

    Goryakin, Yevgeniy; Suhrcke, Marc

    2014-01-01

    Obesity and overweight are spreading fast in developing countries, and have reached world record levels in some of them. Capturing the size, patterns and trends of the problem has, however, been severely hampered by the lack of comparable data in low and middle income countries. We seek to begin to fill this gap by testing several hypotheses on the determinants/correlates of overweight among women, related to the influence of economic and technological development. We undertake econometric analysis of nationally representative data on about 878,000 women aged 15–49 from 244 Demographic and Health Surveys (DHS) for 56 countries over the years 1991–2009. Our findings support most previously expressed hypotheses of what might explain obesity patterns in developing countries, but they also reject some prior notions and add considerable nuance to the emerging pattern. PMID:24457038

  7. Consumer Choice of E85 Denatured Ethanol Fuel Blend: Price Sensitivity and Cost of Limited Fuel Availability

    DOE PAGES

    Liu, Changzheng; Greene, David

    2014-12-01

    The promotion of greater use of E85, a fuel blend of 85% denatured ethanol, by flex-fuel vehicle owners is an important means of complying with the Renewable Fuel Standard 2. A good understanding of factors affecting E85 demand is necessary for effective policies that promote E85 and for developing models that forecast E85 sales in the United States. In this paper, the sensitivity of aggregate E85 demand to E85 and gasoline prices is estimated, as is the relative availability of E85 versus gasoline. The econometric analysis uses recent data from Minnesota, North Dakota, and Iowa. The more recent data allowmore » a better estimate of nonfleet demand and indicate that the market price elasticity of E85 choice is substantially higher than previously estimated.« less

  8. Provider choice and utility loss due to selective contracting in rural and urban areas.

    PubMed

    Fortney, J; Thill, J C; Zhang, M; Duan, N; Rost, K

    2001-03-01

    An econometric model estimated the disutility of traveling long distances for depression treatment, and simulations calculated the utility loss associated with selective contracting in rural and urban areas. A representative sample of depression patients (n = 106) and all practicing providers (n = 3,710) in Arkansas were identified and the distances between them were calculated. Using discrete choice analysis, patient preferences for provider type and travel distance were estimated. Simulations calculated the utility loss associated with alternative scenarios of selective contracting. Provider type and distance were significant predictors of provider choice. To equate the utility loss associated with selective contracting in rural and urban areas, a slightly higher proportion of rural physicians and a substantially higher proportion of rural mental health specialists must be contracted. To avoid further reductions in geographic access, managed care organizations should contract with a higher proportion of rural providers than urban providers. PMID:11236233

  9. Differential effects of negative publicity on beef consumption according to household characteristics in South Korea.

    PubMed

    Youn, Hyungho; Lim, Byung In; Jin, Hyun Joung

    2012-07-01

    This paper examines how South Korean households responded to an unprecedented boycott campaign against US beef from spring to summer of 2008, and investigates differential responses in relation to households' characteristics. It was found that beef consumption reduced by 4.8% immediately after the so-called candle-light demonstration. Instead, pork and chicken consumption increased by 17.2% and 16.6%, respectively. This confirms a substitution effect due to the negative publicity concerning US beef. It was also found that the negative publicity effect was transitory and the reactions of consumers were not uniform; they differed depending on their socio-economic characteristics. The econometric model revealed that younger, less-educated, and/or lower-income households were more susceptible to the negative publicity, and reduced their beef consumption more than other households.

  10. Climate change and soil salinity: The case of coastal Bangladesh.

    PubMed

    Dasgupta, Susmita; Hossain, Md Moqbul; Huq, Mainul; Wheeler, David

    2015-12-01

    This paper estimates location-specific soil salinity in coastal Bangladesh for 2050. The analysis was conducted in two stages: First, changes in soil salinity for the period 2001-2009 were assessed using information recorded at 41 soil monitoring stations by the Soil Research Development Institute. Using these data, a spatial econometric model was estimated linking soil salinity with the salinity of nearby rivers, land elevation, temperature, and rainfall. Second, future soil salinity for 69 coastal sub-districts was projected from climate-induced changes in river salinity and projections of rainfall and temperature based on time trends for 20 Bangladesh Meteorological Department weather stations in the coastal region. The findings indicate that climate change poses a major soil salinization risk in coastal Bangladesh. Across 41 monitoring stations, the annual median projected change in soil salinity is 39 % by 2050. Above the median, 25 % of all stations have projected changes of 51 % or higher.

  11. A nonlinear cointegration approach with applications to structural health monitoring

    NASA Astrophysics Data System (ADS)

    Shi, H.; Worden, K.; Cross, E. J.

    2016-09-01

    One major obstacle to the implementation of structural health monitoring (SHM) is the effect of operational and environmental variabilities, which may corrupt the signal of structural degradation. Recently, an approach inspired from the community of econometrics, called cointegration, has been employed to eliminate the adverse influence from operational and environmental changes and still maintain sensitivity to structural damage. However, the linear nature of cointegration may limit its application when confronting nonlinear relations between system responses. This paper proposes a nonlinear cointegration method based on Gaussian process regression (GPR); the method is constructed under the Engle-Granger framework, and tests for unit root processes are conducted both before and after the GPR is applied. The proposed approach is examined with real engineering data from the monitoring of the Z24 Bridge.

  12. National economic implications of substituting plant oils for diesel fuel

    SciTech Connect

    Collins, G.S.; Griffin, R.C.; Lacewell, R.D.

    1982-01-01

    A regional field crop and national livestock econometric model (TECHSIM) was used to examine the impacts of diverting plant oils (cottonseed and soybeans) to use as a diesel fuel replacement. Two scenarios which represented a five and ten percent replacement of agriculture's diesel fuel use by plant oils were simulated. Producers shift into cotton and soybean production and out of corn, small grains and grain sorghum. Significant price shifts were estimated for cottonseed and soybean meal and oil, fed beef, pork and sheep. The annual reduction in social well being was estimated at about $.5 billion and over $1 billion for replacement of 5 and 10 percent, respectively of agricultural's diesel fuel use by plant oils. 2 figures, 4 tables.

  13. How sustainable is government-sponsored desertification rehabilitation in China? Behavior of households to changes in environmental policies.

    PubMed

    Liu, Ning; Zhou, Lihua; Hauger, J Scott

    2013-01-01

    This paper undertakes a direct, comprehensive assessment of the long-term sustainability of desertification rehabilitation in China under a plausible but worst case scenario where governmental interventions, in the form of payments for environmental services (PES), will cease. The analysis is based on household behavior as well as experimental data. Our econometric results highlight the main obstacles to the sustainability of rehabilitation programs subsequent to cessation of government intervention, including specific shortfalls in households' preference for a free ride, budget constraints, attitudes, tolerance of and responsibility for desertification, and dissatisfaction with governmental actions. We conclude that desertification rehabilitation is not sustainable in China without continued governmental intervention. The results of this study are intended to support policy makers as they consider future directions for rehabilitation sustainability.

  14. Investigation on Law and Economics Based on Complex Network and Time Series Analysis

    PubMed Central

    Yang, Jian; Qu, Zhao; Chang, Hui

    2015-01-01

    The research focuses on the cooperative relationship and the strategy tendency among three mutually interactive parties in financing: small enterprises, commercial banks and micro-credit companies. Complex network theory and time series analysis were applied to figure out the quantitative evidence. Moreover, this paper built up a fundamental model describing the particular interaction among them through evolutionary game. Combining the results of data analysis and current situation, it is justifiable to put forward reasonable legislative recommendations for regulations on lending activities among small enterprises, commercial banks and micro-credit companies. The approach in this research provides a framework for constructing mathematical models and applying econometrics and evolutionary game in the issue of corporation financing. PMID:26076460

  15. 'Been there done that': disentangling option value effects from user heterogeneity when valuing natural resources with a use component.

    PubMed

    Lyssenko, Nikita; Martínez-Espiñeira, Roberto

    2012-11-01

    Endogeneity bias arises in contingent valuation studies when the error term in the willingness to pay (WTP) equation is correlated with explanatory variables because observable and unobservable characteristics of the respondents affect both their WTP and the value of those variables. We correct for the endogeneity of variables that capture previous experience with the resource valued, humpback whales, and with the geographic area of study. We consider several endogenous behavioral variables. Therefore, we apply a multivariate Probit approach to jointly model them with WTP. In this case, correcting for endogeneity increases econometric efficiency and substantially corrects the bias affecting the estimated coefficients of the experience variables, by isolating the decreasing effect on option value caused by having already experienced the resource. Stark differences are unveiled between the marginal effects on WTP of previous experience of the resource in an alternative location versus experience in the location studied, Newfoundland and Labrador (Canada).

  16. Consumer Choice of E85 Denatured Ethanol Fuel Blend: Price Sensitivity and Cost of Limited Fuel Availability

    SciTech Connect

    Liu, Changzheng; Greene, David

    2014-12-01

    The promotion of greater use of E85, a fuel blend of 85% denatured ethanol, by flex-fuel vehicle owners is an important means of complying with the Renewable Fuel Standard 2. A good understanding of factors affecting E85 demand is necessary for effective policies that promote E85 and for developing models that forecast E85 sales in the United States. In this paper, the sensitivity of aggregate E85 demand to E85 and gasoline prices is estimated, as is the relative availability of E85 versus gasoline. The econometric analysis uses recent data from Minnesota, North Dakota, and Iowa. The more recent data allow a better estimate of nonfleet demand and indicate that the market price elasticity of E85 choice is substantially higher than previously estimated.

  17. Demand modelling of passenger air travel: An analysis and extension, volume 2

    NASA Technical Reports Server (NTRS)

    Jacobson, I. D.

    1978-01-01

    Previous intercity travel demand models in terms of their ability to predict air travel in a useful way and the need for disaggregation in the approach to demand modelling are evaluated. The viability of incorporating non-conventional factors (i.e. non-econometric, such as time and cost) in travel demand forecasting models are determined. The investigation of existing models is carried out in order to provide insight into their strong points and shortcomings. The model is characterized as a market segmentation model. This is a consequence of the strengths of disaggregation and its natural evolution to a usable aggregate formulation. The need for this approach both pedagogically and mathematically is discussed. In addition this volume contains two appendices which should prove useful to the non-specialist in the area.

  18. Modeling conflict : research methods, quantitative modeling, and lessons learned.

    SciTech Connect

    Rexroth, Paul E.; Malczynski, Leonard A.; Hendrickson, Gerald A.; Kobos, Peter Holmes; McNamara, Laura A.

    2004-09-01

    This study investigates the factors that lead countries into conflict. Specifically, political, social and economic factors may offer insight as to how prone a country (or set of countries) may be for inter-country or intra-country conflict. Largely methodological in scope, this study examines the literature for quantitative models that address or attempt to model conflict both in the past, and for future insight. The analysis concentrates specifically on the system dynamics paradigm, not the political science mainstream approaches of econometrics and game theory. The application of this paradigm builds upon the most sophisticated attempt at modeling conflict as a result of system level interactions. This study presents the modeling efforts built on limited data and working literature paradigms, and recommendations for future attempts at modeling conflict.

  19. A κ-generalized statistical mechanics approach to income analysis

    NASA Astrophysics Data System (ADS)

    Clementi, F.; Gallegati, M.; Kaniadakis, G.

    2009-02-01

    This paper proposes a statistical mechanics approach to the analysis of income distribution and inequality. A new distribution function, having its roots in the framework of κ-generalized statistics, is derived that is particularly suitable for describing the whole spectrum of incomes, from the low-middle income region up to the high income Pareto power-law regime. Analytical expressions for the shape, moments and some other basic statistical properties are given. Furthermore, several well-known econometric tools for measuring inequality, which all exist in a closed form, are considered. A method for parameter estimation is also discussed. The model is shown to fit remarkably well the data on personal income for the United States, and the analysis of inequality performed in terms of its parameters is revealed as very powerful.

  20. New constraints in absorptive capacity and the optimum rate of petroleum output

    SciTech Connect

    El Mallakh, R

    1980-01-01

    Economic policy in four oil-producing countries is analyzed within a framework that combines a qualitative assessment of the policy-making process with an empirical formulation based on historical and current trends in these countries. The concept of absorptive capacity is used to analyze the optimum rates of petroleum production in Iran, Iraq, Saudi Arabia, and Kuwait. A control solution with an econometric model is developed which is then modified for alternative development strategies based on analysis of factors influencing production decisions. The study shows the consistencies and inconsistencies between the goals of economic growth, oil production, and exports, and the constraints on economic development. Simulation experiments incorporated a number of the constraints on absorptive capacity. Impact of other constraints such as income distribution and political stability is considered qualitatively. (DLC)

  1. Exploring the relationship between senior management team culture and hospital performance.

    PubMed

    Davies, H T O; Mannion, R; Jacobs, R; Powell, A E; Marshall, M N

    2007-02-01

    The purpose of this study was to explore relationships between senior management team culture and organizational performance in English hospital organizations (NHS trusts [National Health Service]). We used an established culture-rating instrument, the Competing Values Framework, to assess senior management team culture. Organizational performance was assessed using a wide variety of routinely collected measures. Data were gathered from all English NHS acute hospital trusts, a total of 197 organizations. Multivariate econometric analyses were used to explore the associations between measures of culture and measures of performance using regressions, ANOVA, multinomial logit, and ordered probit. Organizational culture varied across hospital organizations, and at least some of this variation was associated in consistent and predictable ways with a variety of organizational characteristics and measures of performance. The findings provide particular support for a contingent relationship between culture and performance.

  2. Quantifying the Impact of Unavailability in Cyber-Physical Environments

    SciTech Connect

    Aissa, Anis Ben; Abercrombie, Robert K; Sheldon, Federick T.; Mili, Ali

    2014-01-01

    The Supervisory Control and Data Acquisition (SCADA) system discussed in this work manages a distributed control network for the Tunisian Electric & Gas Utility. The network is dispersed over a large geographic area that monitors and controls the flow of electricity/gas from both remote and centralized locations. The availability of the SCADA system in this context is critical to ensuring the uninterrupted delivery of energy, including safety, security, continuity of operations and revenue. Such SCADA systems are the backbone of national critical cyber-physical infrastructures. Herein, we propose adapting the Mean Failure Cost (MFC) metric for quantifying the cost of unavailability. This new metric combines the classic availability formulation with MFC. The resulting metric, so-called Econometric Availability (EA), offers a computational basis to evaluate a system in terms of the gain/loss ($/hour of operation) that affects each stakeholder due to unavailability.

  3. The impact of economic, political and social globalization on overweight and obesity in the 56 low and middle income countries.

    PubMed

    Goryakin, Yevgeniy; Lobstein, Tim; James, W Philip T; Suhrcke, Marc

    2015-05-01

    Anecdotal and descriptive evidence has led to the claim that globalization plays a major role in inducing overweight and obesity in developing countries, but robust quantitative evidence is scarce. We undertook extensive econometric analyses of several datasets, using a series of new proxies for different dimensions of globalization potentially affecting overweight in up to 887,000 women aged 15-49 living in 56 countries between 1991 and 2009. After controlling for relevant individual and country level factors, globalization as a whole is substantially and significantly associated with an increase in the individual propensity to be overweight among women. Surprisingly, political and social globalization dominate the influence of the economic dimension. Hence, more consideration needs to be given to the forms of governance required to shape a more health-oriented globalization process.

  4. Economic considerations for bariatric surgery and morbid obesity

    PubMed Central

    Frezza, Eldo E; Wacthell, Mitchell; Ewing, Bradley

    2009-01-01

    The obesity epidemic is also an economic tragedy. This analysis evaluates the economic effects and the potential to improve the well-being of both individual and societal wealth. Econometric techniques should carefully assess the degree to which obesity affects declines in business output, employment, income, and tax revenues at the regional and national levels. Microeconomics assesses lost productivity and associated wages and profit. Macroeconomics assesses trends associated with employment, inflation, interest rates, money supply, and output. To decrease the adverse economic consequences of the obesity epidemic, policy makers must emphasize bariatric surgery as a cost-effective option for qualified patients. Early intervention, education, and tax rebates for obese individuals who undergo bariatric surgery and for medical centers and doctors would likely have positive economic effects on the whole economy in a few years. PMID:21935309

  5. Economic considerations for bariatric surgery and morbid obesity.

    PubMed

    Frezza, Eldo E; Wacthell, Mitchell; Ewing, Bradley

    2009-01-01

    The obesity epidemic is also an economic tragedy. This analysis evaluates the economic effects and the potential to improve the well-being of both individual and societal wealth. Econometric techniques should carefully assess the degree to which obesity affects declines in business output, employment, income, and tax revenues at the regional and national levels. Microeconomics assesses lost productivity and associated wages and profit. Macroeconomics assesses trends associated with employment, inflation, interest rates, money supply, and output. To decrease the adverse economic consequences of the obesity epidemic, policy makers must emphasize bariatric surgery as a cost-effective option for qualified patients. Early intervention, education, and tax rebates for obese individuals who undergo bariatric surgery and for medical centers and doctors would likely have positive economic effects on the whole economy in a few years. PMID:21935309

  6. Judging Statistical Models of Individual Decision Making under Risk Using In- and Out-of-Sample Criteria

    PubMed Central

    Drichoutis, Andreas C.; Lusk, Jayson L.

    2014-01-01

    Despite the fact that conceptual models of individual decision making under risk are deterministic, attempts to econometrically estimate risk preferences require some assumption about the stochastic nature of choice. Unfortunately, the consequences of making different assumptions are, at present, unclear. In this paper, we compare three popular error specifications (Fechner, contextual utility, and Luce error) for three different preference functionals (expected utility, rank-dependent utility, and a mixture of those two) using in- and out-of-sample selection criteria. We find drastically different inferences about structural risk preferences across the competing functionals and error specifications. Expected utility theory is least affected by the selection of the error specification. A mixture model combining the two conceptual models assuming contextual utility provides the best fit of the data both in- and out-of-sample. PMID:25029467

  7. National health expenditures: a global analysis.

    PubMed Central

    Murray, C. J.; Govindaraj, R.; Musgrove, P.

    1994-01-01

    As part of the background research to the World development report 1993: investing in health, an effort was made to estimate public, private and total expenditures on health for all countries of the world. Estimates could be found for public spending for most countries, but for private expenditure in many fewer countries. Regressions were used to predict the missing values of regional and global estimates. These econometric exercises were also used to relate expenditure to measures of health status. In 1990 the world spent an estimated US$ 1.7 trillion (1.7 x 10(12) on health, or $1.9 trillion (1.9 x 10(12)) in dollars adjusted for higher purchasing power in poorer countries. This amount was about 60% public and 40% private in origin. However, as incomes rise, public health expenditure tends to displace private spending and to account for the increasing share of incomes devoted to health. PMID:7923542

  8. Does managed care reduce health care expenditure? Evidence from spatial panel data.

    PubMed

    Ehlert, Andree; Oberschachtsiek, Dirk

    2014-09-01

    Similar to, for example, the US, Switzerland or Great Britain the German health care sector has recently undergone a series of reforms towards managed care. These measures are intended to yield both a higher quality of care and cost containment. In our study we ask whether managed care reduces health care expenditure at the market level. We apply a macroeconomic evaluation approach based on a regional panel data set which is as yet unique in the context of managed care. Econometrically, we account for both unobserved heterogeneity and spatial dependence, i.e. regional interrelations in health care. We discuss alternative model specifications and include a range of sensitivity analyses. Our results suggest that in contrast to public perception the share of managed care contracts has a positive impact on pharmaceutical spending, in particular through regional spillover effects.

  9. Aggregate vehicle travel forecasting model

    SciTech Connect

    Greene, D.L.; Chin, Shih-Miao; Gibson, R.

    1995-05-01

    This report describes a model for forecasting total US highway travel by all vehicle types, and its implementation in the form of a personal computer program. The model comprises a short-run, econometrically-based module for forecasting through the year 2000, as well as a structural, scenario-based longer term module for forecasting through 2030. The short-term module is driven primarily by economic variables. It includes a detailed vehicle stock model and permits the estimation of fuel use as well as vehicle travel. The longer-tenn module depends on demographic factors to a greater extent, but also on trends in key parameters such as vehicle load factors, and the dematerialization of GNP. Both passenger and freight vehicle movements are accounted for in both modules. The model has been implemented as a compiled program in the Fox-Pro database management system operating in the Windows environment.

  10. Cross-impacts analysis development and energy policy analysis applications

    SciTech Connect

    Roop, J.M.; Scheer, R.M.; Stacey, G.S.

    1986-12-01

    Purpose of this report is to describe the cross-impact analysis process and microcomputer software developed for the Office of Policy, Planning, and Analysis (PPA) of DOE. First introduced in 1968, cross-impact analysis is a technique that produces scenarios of future conditions and possibilities. Cross-impact analysis has several unique attributes that make it a tool worth examining, especially in the current climate when the outlook for the economy and several of the key energy markets is uncertain. Cross-impact analysis complements the econometric, engineering, systems dynamics, or trend approaches already in use at DOE. Cross-impact analysis produces self-consistent scenarios in the broadest sense and can include interaction between the economy, technology, society and the environment. Energy policy analyses that couple broad scenarios of the future with detailed forecasting can produce more powerful results than scenario analysis or forecasts can produce alone.

  11. The impact of energy prices on technology choice in the United States steel industry

    SciTech Connect

    Karlson, S.H. . Dept. of Economics); Boyd, G. )

    1991-01-01

    In the last thirty years US steel producers have replaced their aging open hearth steel furnaces with basic oxygen or large electric arc furnaces. This choice of technology leads to the opportunity to substitute electricity for fossil fuels as a heat source. We extend earlier research to investigate whether or not energy prices affect this type of technology adoption as predicted by economic theory. The econometric model uses the seemingly unrelated Tobit'' method to capture the effects of the industry's experience with both technologies, technical change, and potential cost reductions, as well as energy prices, on adoption. When we include the prices of electricity and coking coal as explanatory variables, the four energy price coefficients have the signs predicted by the law of demand. The two price coefficients have a statistically significant effect on adoption of basic oxygen furnaces. The inclusion of energy prices leads to significantly more efficient estimates of other coefficients in the model. 19 refs., 3 tabs.

  12. Investigation on Law and Economics Based on Complex Network and Time Series Analysis.

    PubMed

    Yang, Jian; Qu, Zhao; Chang, Hui

    2015-01-01

    The research focuses on the cooperative relationship and the strategy tendency among three mutually interactive parties in financing: small enterprises, commercial banks and micro-credit companies. Complex network theory and time series analysis were applied to figure out the quantitative evidence. Moreover, this paper built up a fundamental model describing the particular interaction among them through evolutionary game. Combining the results of data analysis and current situation, it is justifiable to put forward reasonable legislative recommendations for regulations on lending activities among small enterprises, commercial banks and micro-credit companies. The approach in this research provides a framework for constructing mathematical models and applying econometrics and evolutionary game in the issue of corporation financing.

  13. Simulating Quantile Models with Applications to Economics and Management

    NASA Astrophysics Data System (ADS)

    Machado, José A. F.

    2010-05-01

    The massive increase in the speed of computers over the past forty years changed the way that social scientists, applied economists and statisticians approach their trades and also the very nature of the problems that they could feasibly tackle. The new methods that use intensively computer power go by the names of "computer-intensive" or "simulation". My lecture will start with bird's eye view of the uses of simulation in Economics and Statistics. Then I will turn out to my own research on uses of computer- intensive methods. From a methodological point of view the question I address is how to infer marginal distributions having estimated a conditional quantile process, (Counterfactual Decomposition of Changes in Wage Distributions using Quantile Regression," Journal of Applied Econometrics 20, 2005). Illustrations will be provided of the use of the method to perform counterfactual analysis in several different areas of knowledge.

  14. Models for forecasting energy use in the US farm sector

    NASA Astrophysics Data System (ADS)

    Christensen, L. R.

    1981-07-01

    Econometric models were developed and estimated for the purpose of forecasting electricity and petroleum demand in US agriculture. A structural approach is pursued which takes account of the fact that the quantity demanded of any one input is a decision made in conjunction with other input decisions. Three different functional forms of varying degrees of complexity are specified for the structural cost function, which describes the cost of production as a function of the level of output and factor prices. Demand for materials (all purchased inputs) is derived from these models. A separate model which break this demand up into demand for the four components of materials is used to produce forecasts of electricity and petroleum is a stepwise manner.

  15. FBST for Cointegration Problems

    NASA Astrophysics Data System (ADS)

    Diniz, M.; Pereira, C. A. B.; Stern, J. M.

    2008-11-01

    In order to estimate causal relations, the time series econometrics has to be aware of spurious correlation, a problem first mentioned by Yule [21]. To solve the problem, one can work with differenced series or use multivariate models like VAR or VEC models. In this case, the analysed series are going to present a long run relation i.e. a cointegration relation. Even though the Bayesian literature about inference on VAR/VEC models is quite advanced, Bauwens et al. [2] highlight that "the topic of selecting the cointegrating rank has not yet given very useful and convincing results." This paper presents the Full Bayesian Significance Test applied to cointegration rank selection tests in multivariate (VAR/VEC) time series models and shows how to implement it using available in the literature and simulated data sets. A standard non-informative prior is assumed.

  16. Estimating the effects of urban residential development on water quality using microdata.

    PubMed

    Atasoy, Mary; Palmquist, Raymond B; Phaneuf, Daniel J

    2006-06-01

    In this study, we examine the impact on water quality of urbanization using disaggregate data from Wake County, North Carolina. We use a unique panel data set tracing the conversion of individual residentially zoned land parcels to relate the density of residential development and the change in residential land use to three measures of water quality. Using a spatial econometrics model, we relate spatially and temporally referenced monitoring station readings to our measures of residential land use while controlling for other factors affecting water quality. We find that both the density of residential land use and the rate of land conversion have a negative impact on water quality. The impacts of these non-point sources are found to be larger in magnitude than those from urban point sources.

  17. Famine Early Warning Systems and Their Use of Satellite Remote Sensing Data

    NASA Technical Reports Server (NTRS)

    Brown, Molly E.; Essam, Timothy; Leonard, Kenneth

    2011-01-01

    Famine early warning organizations have experience that has much to contribute to efforts to incorporate climate and weather information into economic and political systems. Food security crises are now caused almost exclusively by problems of food access, not absolute food availability, but the role of monitoring agricultural production both locally and globally remains central. The price of food important to the understanding of food security in any region, but it needs to be understood in the context of local production. Thus remote sensing is still at the center of much food security analysis, along with an examination of markets, trade and economic policies during food security analyses. Technology including satellite remote sensing, earth science models, databases of food production and yield, and modem telecommunication systems contributed to improved food production information. Here we present an econometric approach focused on bringing together satellite remote sensing and market analysis into food security assessment in the context of early warning.

  18. Benefits to world agriculture through remote sensing

    NASA Technical Reports Server (NTRS)

    Buffalano, A. C.; Kochanowski, P.

    1976-01-01

    Remote sensing of agricultural land permits crop classification and mensuration which can lead to improved forecasts of production. This technique is particularly important for nations which do not already have an accurate agricultural reporting system. Better forecasts have important economic effects. International grain traders can make better decisions about when to store, buy, and sell. Farmers can make better planting decisions by taking advantage of production estimates for areas out of phase with their own agricultural calendar. World economic benefits will accrue to both buyers and sellers because of increased food supply and price stabilization. This paper reviews the econometric models used to establish this scenario and estimates the dollar value of benefits for world wheat as 200 million dollars annually for the United States and 300 to 400 million dollars annually for the rest of the world.

  19. Behavioral economics and health policy: understanding Medicaid's failure.

    PubMed

    Richman, Barak D

    2005-03-01

    This Article employs a behavioral economic analysis to understand why Medicaid has failed to improve the health outcomes of its beneficiaries. It begins with a formal economic model of health care consumption and then systematically incorporates a survey of psychosocial variables to formulate explanations for persistent health disparities. This methodology suggests that consulting the literature in health psychology and intertemporal decision theory--empirical sources generally excluded from orthodox economic analysis--provides valuable material to explain certain findings in health econometrics. More significantly, the lessons from this behavioral economic approach generate useful policy considerations for Medicaid policymakers, who largely have neglected psychosocial variables in implementing a health insurance program that rests chiefly on orthodox economic assumptions. The Article's chief contributions include an expansion of the behavioral economic approach to include a host of variables in health psychology, a behavioral refinement of empirical health economics, a behavioral critique of Medicaid policy, and a menu of suggested Medicaid reforms.

  20. Using theory to identify beliefs associated with support for policies to raise the price of high-fat and high-sugar foods.

    PubMed

    Niederdeppe, Jeff; Porticella, Norman; Shapiro, Michael A

    2012-01-01

    Public policies designed to dramatically raise the price of high-fat and high-sugar foods have received substantial attention from researchers and the media. Although econometric studies suggest that these policies could reduce obesity rates, they are likely to face substantial public opposition. This study used the theory of perceived responsibility and social motivation as a framework to analyze data from a politically diverse convenience sample of 500 adults in upstate New York. The authors examined associations between attribution beliefs and policy support to identify what types of scientific evidence and accompanying messages appear most likely to generate public support for price-raising policies. Results suggest that public health advocates and health communicators could benefit from an increased emphasis on advertising for unhealthy foods as a cause of obesity and the food industry's (manufacturers, advertisers, markets, and restaurants) responsibility for addressing the problem. PMID:22059780

  1. Electricity generation modeling and photovoltaic forecasts in China

    NASA Astrophysics Data System (ADS)

    Li, Shengnan

    With the economic development of China, the demand for electricity generation is rapidly increasing. To explain electricity generation, we use gross GDP, the ratio of urban population to rural population, the average per capita income of urban residents, the electricity price for industry in Beijing, and the policy shift that took place in China. Ordinary least squares (OLS) is used to develop a model for the 1979--2009 period. During the process of designing the model, econometric methods are used to test and develop the model. The final model is used to forecast total electricity generation and assess the possible role of photovoltaic generation. Due to the high demand for resources and serious environmental problems, China is pushing to develop the photovoltaic industry. The system price of PV is falling; therefore, photovoltaics may be competitive in the future.

  2. Government health expenditures and health outcomes.

    PubMed

    Bokhari, Farasat A S; Gai, Yunwei; Gottret, Pablo

    2007-03-01

    This paper provides econometric evidence linking a country's per capita government health expenditures and per capita income to two health outcomes: under-five mortality and maternal mortality. Using instrumental variables techniques (GMM-H2SL), we estimate the elasticity of these outcomes with respect to government health expenditures and income while treating both variables as endogenous. Consequently, our elasticity estimates are larger in magnitude than those reported in literature, which may be biased up. The elasticity of under-five mortality with respect to government expenditures ranges from -0.25 to -0.42 with a mean value of -0.33. For maternal mortality the elasticity ranges from -0.42 to -0.52 with a mean value of -0.50. For developing countries, our results imply that while economic growth is certainly an important contributor to health outcomes, government spending on health is just as important a factor.

  3. Cognitive functioning and the probability of falls among seniors in Havana, Cuba.

    PubMed

    Trujillo, Antonio J; Hyder, Adnan A; Steinhardt, Laura C

    2011-01-01

    This article explores the connection between cognitive functioning and falls among seniors (> or = 60 years of age) in Havana, Cuba, after controlling for observable characteristics. Using the SABE (Salud, Bienestar, and Envejecimiento) cross-sectional database, we used an econometric strategy that takes advantage of available information to reduce the endogeneity problem of cognitive functioning and the individual probability of falling. Our findings suggest that memory scores and cognitive functioning impacts the probability of falling--even after controlling for demographics, socioeconomic status, existence of chronic non-communicable conditions, vision/ hearing capacity, and baseline health. Monitoring elderly with low cognitive functioning may be a cost-effective way to reduce the economic burden of falls. PMID:22010363

  4. Economics of individualization in comparative effectiveness research and a basis for a patient-centered health care.

    PubMed

    Basu, Anirban

    2011-05-01

    The United States aspires to use information from comparative effectiveness research (CER) to reduce waste and contain costs without instituting a formal rationing mechanism or compromising patient or physician autonomy with regard to treatment choices. With such ambitious goals, traditional combinations of research designs and analytical methods used in CER may lead to disappointing results. In this paper, I study how alternate regimes of comparative effectiveness information help shape the marginal benefits (demand) curve in the population and how such perceived demand curves impact decision-making at the individual patient level and welfare at the societal level. I highlight the need to individualize comparative effectiveness research in order to generate the true (normative) demand curve for treatments. I discuss methodological principles that guide research designs for such studies. Using an example of the comparative effect of substance abuse treatments on crime, I use novel econometric methods to salvage individualized information from an existing dataset.

  5. How does social capital matter to the health status of older adults? Evidence from the China Health and Retirement Longitudinal Survey.

    PubMed

    Liu, Gordon G; Xue, Xindong; Yu, Chenxi; Wang, Yafeng

    2016-09-01

    This paper uses longitudinal data from China to examine the causal relationship between structural social capital and health among Chinese older adults. We employ various econometric strategies to control for the potential endogeneity of social capital and account for the possible contextual confounding effects by including community-level social capital. We use three indicators to measure individuals' general, physical, and mental health. Results indicate that social capital has a significant and positive effect on general and physical health. Based on our primary IV findings, a one standard-deviation increase in social capital leads to a 4.9 standard-deviation decrease in the probability of having bad health and a 2.2 standard-deviation decrease in physical activity limitations. Our results are robust to a series of sensitivity checks. Further analysis suggests heterogeneous effects by age but not by gender or area of residence.

  6. Bubbles, shocks and elementary technical trading strategies

    NASA Astrophysics Data System (ADS)

    Fry, John

    2014-01-01

    In this paper we provide a unifying framework for a set of seemingly disparate models for bubbles, shocks and elementary technical trading strategies in financial markets. Markets operate by balancing intrinsic levels of risk and return. This seemingly simple observation is commonly over-looked by academics and practitioners alike. Our model shares its origins in statistical physics with others. However, under our approach, changes in market regime can be explicitly shown to represent a phase transition from random to deterministic behaviour in prices. This structure leads to an improved physical and econometric model. We develop models for bubbles, shocks and elementary technical trading strategies. The list of empirical applications is both interesting and topical and includes real-estate bubbles and the on-going Eurozone crisis. We close by comparing the results of our model with purely qualitative findings from the finance literature.

  7. 'Mommy, I miss daddy'. The effect of family structure on children's health in Brazil.

    PubMed

    Ayllón, Sara; Ferreira-Batista, Natalia N

    2015-12-01

    This paper studies the relationship between single motherhood and children's height-for-age z-scores in Brazil. In order to isolate the causal effect between family structure and children's condition, we estimate an econometric model that uses male preference for firstborn sons and local sex ratios to instrument the probability of a woman becoming a single mother. Our results have a local average treatment effect interpretation (LATE). We find that children being raised by a single mother (whose marital status is affected by a firstborn girl and a low sex ratio) have a height-for-age z-score that is lower than that of children of similar characteristics that cohabit with both progenitors. We claim that the increasing trend of single motherhood in Brazil should be of concern in health policy design.

  8. MEDISE: A macroeconomic model for energy planning in Costa Rica

    SciTech Connect

    Booth, S.R. ); Leiva, C.L. . Direccion Sectorial de Energia)

    1991-08-01

    This report describes the development and results of MEDISE, an econometric macroeconomic model for energy planning in Costa Rica. The model is a simultaneous system of 19 equations that was constructed using ENERPLAN, an energy planning tool developed by the United Nations for use in developing countries. The equations were estimated using regression analysis on a data time series of 1966 to 1984. ENERPLAN's model solution package was used to obtain forecasts of 19 economic variables from 1985 to 2005. the modeling effort was conducted jointly by Los Alamos Central American Energy and Resources Project (CAP) personnel and the Energy Sector Directorate of Costa Rica during 1986. The CAP was funded by the US Agency for International Development. 6 refs., 3 figs., 11 tabs.

  9. The impact of economic, political and social globalization on overweight and obesity in the 56 low and middle income countries

    PubMed Central

    Goryakin, Yevgeniy; Lobstein, Tim; James, W. Philip T.; Suhrcke, Marc

    2015-01-01

    Anecdotal and descriptive evidence has led to the claim that globalization plays a major role in inducing overweight and obesity in developing countries, but robust quantitative evidence is scarce. We undertook extensive econometric analyses of several datasets, using a series of new proxies for different dimensions of globalization potentially affecting overweight in up to 887,000 women aged 15–49 living in 56 countries between 1991 and 2009. After controlling for relevant individual and country level factors, globalization as a whole is substantially and significantly associated with an increase in the individual propensity to be overweight among women. Surprisingly, political and social globalization dominate the influence of the economic dimension. Hence, more consideration needs to be given to the forms of governance required to shape a more health-oriented globalization process. PMID:25841097

  10. Forecasting carbon dioxide emissions.

    PubMed

    Zhao, Xiaobing; Du, Ding

    2015-09-01

    This study extends the literature on forecasting carbon dioxide (CO2) emissions by applying the reduced-form econometrics approach of Schmalensee et al. (1998) to a more recent sample period, the post-1997 period. Using the post-1997 period is motivated by the observation that the strengthening pace of global climate policy may have been accelerated since 1997. Based on our parameter estimates, we project 25% reduction in CO2 emissions by 2050 according to an economic and population growth scenario that is more consistent with recent global trends. Our forecasts are conservative due to that we do not have sufficient data to fully take into account recent developments in the global economy. PMID:26081307

  11. MODELING THE DEMAND FOR E85 IN THE UNITED STATES

    SciTech Connect

    Liu, Changzheng; Greene, David L

    2013-10-01

    How demand for E85 might evolve in the future in response to changing economics and policies is an important subject to include in the National Energy Modeling System (NEMS). This report summarizes a study to develop an E85 choice model for NEMS. Using the most recent data from the states of Minnesota, North Dakota, and Iowa, this study estimates a logit model that represents E85 choice as a function of prices of E10 and E85, as well as fuel availability of E85 relative to gasoline. Using more recent data than previous studies allows a better estimation of non-fleet demand and indicates that the price elasticity of E85 choice appears to be higher than previously estimated. Based on the results of the econometric analysis, a model for projecting E85 demand at the regional level is specified. In testing, the model produced plausible predictions of US E85 demand to 2040.

  12. Diffusion on social networks: Survey data from rural villages in central China.

    PubMed

    Xiong, Hang; Wang, Puqing; Zhu, Yueji

    2016-06-01

    Empirical studies on social diffusions are often restricted by the access to data of diffusion and social relations on the same objects. We present a set of first-hand data that we collected in ten rural villages in central China through household surveys. The dataset contains detailed and comprehensive data of the diffusion of an innovation, the major social relationships and the household level demographic characteristics in these villages. The data have been used to study peer effects in social diffusion using simulation models, "Peer Effects and Social Network: The Case of Rural Diffusion in Central China" [1]. They can also be used to estimate spatial econometric models. Data are supplied with this article. PMID:27054157

  13. Transfer entropy as a log-likelihood ratio.

    PubMed

    Barnett, Lionel; Bossomaier, Terry

    2012-09-28

    Transfer entropy, an information-theoretic measure of time-directed information transfer between joint processes, has steadily gained popularity in the analysis of complex stochastic dynamics in diverse fields, including the neurosciences, ecology, climatology, and econometrics. We show that for a broad class of predictive models, the log-likelihood ratio test statistic for the null hypothesis of zero transfer entropy is a consistent estimator for the transfer entropy itself. For finite Markov chains, furthermore, no explicit model is required. In the general case, an asymptotic χ2 distribution is established for the transfer entropy estimator. The result generalizes the equivalence in the Gaussian case of transfer entropy and Granger causality, a statistical notion of causal influence based on prediction via vector autoregression, and establishes a fundamental connection between directed information transfer and causality in the Wiener-Granger sense.

  14. Using Weather Data and Climate Model Output in Economic Analyses of Climate Change

    SciTech Connect

    Auffhammer, Maximilian; Hsiang, Solomon M.; Schlenker, Wolfram; Sobel, Adam H.

    2013-06-28

    Economists are increasingly using weather data and climate model output in analyses of the economic impacts of climate change. This article introduces a set of weather data sets and climate models that are frequently used, discusses the most common mistakes economists make in using these products, and identifies ways to avoid these pitfalls. We first provide an introduction to weather data, including a summary of the types of datasets available, and then discuss five common pitfalls that empirical researchers should be aware of when using historical weather data as explanatory variables in econometric applications. We then provide a brief overview of climate models and discuss two common and significant errors often made by economists when climate model output is used to simulate the future impacts of climate change on an economic outcome of interest.

  15. The child as econometrician: a rational model of preference understanding in children.

    PubMed

    Lucas, Christopher G; Griffiths, Thomas L; Xu, Fei; Fawcett, Christine; Gopnik, Alison; Kushnir, Tamar; Markson, Lori; Hu, Jane

    2014-01-01

    Recent work has shown that young children can learn about preferences by observing the choices and emotional reactions of other people, but there is no unified account of how this learning occurs. We show that a rational model, built on ideas from economics and computer science, explains the behavior of children in several experiments, and offers new predictions as well. First, we demonstrate that when children use statistical information to learn about preferences, their inferences match the predictions of a simple econometric model. Next, we show that this same model can explain children's ability to learn that other people have preferences similar to or different from their own and use that knowledge to reason about the desirability of hidden objects. Finally, we use the model to explain a developmental shift in preference understanding.

  16. The effects of HIV/AIDS on economic growth and human capitals: a panel study evidence from Asian countries.

    PubMed

    Roy, Shongkour

    2014-01-01

    Human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) affects economic growths by reducing the human capitals are among the most poorly understood aspect of the AIDS epidemic. This article analyzes the effects of the prevalence of HIV and full-blown AIDS on a country's human capitals and economic growths. Using a fixed effect model for panel data 1990-2010 from the Asia, I explored the dynamic relationships among HIV/AIDS, economic growths, and human capitals within countries over time. The econometric effects concerned that HIV/AIDS plays an important role in the field of economic growths and it is measured as a change in real gross domestic product (GDP) per capita and human capitals. The modeling results for the Asian countries indicates HIV/AIDS prevalence that has a hurtful effect on GDP per capita by reducing human capitals within countries over time.

  17. [Between fetishism and survival: are scientific articles a form of academic merchandise?].

    PubMed

    Castiel, Luis David; Sanz-Valero, Javier

    2007-12-01

    This article discusses the possible meanings of the intense prevailing concern in academic circles over the notion of research productivity, as reflected in an excess number of articles published in various scientific journals. The numerical accounting of articles published by researchers in scientific journals with renowned academic status serves to legitimize academics in their fields of work, in various ways. In this sense, we suggest that scientific articles take on aspects of merchandise-as-fetish, according to Marx's theory of use-value and exchange-value and Benjamin's exposure value. Meanwhile, the biological notions of selection and evolution are used as metaphorical elements in "bibliographic Darwinism". There are references as to the possibility many of the prevailing bibliometric concerns serve as instruments for econometric analysis, especially to orient and enhance cost-effectiveness analysis in research investments of various orders and types, from the point of view of their economic return. PMID:18157347

  18. Education And Gender Bias in the Sex Ratio At Birth: Evidence From India

    PubMed Central

    ECHÁVARRI, REBECA A.; EZCURRA, ROBERTO

    2010-01-01

    This article investigates the possible existence of a nonlinear link between female disadvantage in natality and education. To this end, we devise a theoretical model based on the key role of social interaction in explaining people’s acquisition of preferences, which justifies the existence of a nonmonotonic relationship between female disadvantage in natality and education. The empirical validity of the proposed model is examined for the case of India, using district-level data. In this context, our econometric analysis pays particular attention to the role of spatial dependence to avoid any potential problems of misspecification. The results confirm that the relationship between the sex ratio at birth and education in India follows an inverted U-shape. This finding is robust to the inclusion of additional explanatory variables in the analysis, and to the choice of the spatial weight matrix used to quantify the spatial interdependence between the sample districts. PMID:20355693

  19. Kalman filter estimation of monthly US oil imports

    SciTech Connect

    Martz, H.; Burris, A.; Bruckner, L.; Bivins, R.

    1981-10-01

    The Kalman filter technique was used to forecast US monthly oil imports with a two-month lead. The state equation used was an ARIMA (1,1,0), and the observation equation was a regression of the revised (P/sub 1/), estimated (P/sub 0/), and company-forecasted values (F/sub 1/ and F/sub 2/) on the true values (P/sub 2/). Results indicate the Kalman filter estimates are superior to the company-provided P/sub 1/ values. The total forecasts are in agreement with true values and lie within the 95% confidence bounds. The incorporation of an econometrically derived observation equation is recommended. A detailed example of the Kalman filter estimate calculation is presented in the appendix.

  20. Potential niche markets for biodiesel and their effects on agriculture

    SciTech Connect

    Raneses, A.R.; Glaser, L.K.; Price, J.M.

    1996-12-31

    This analysis estimates possible biodiesel demand in three niche markets the biodiesel industry has identified as likely candidates for commercialization: federal fleets, mining, and marine/estuary areas. If a 20-percent biodiesel blend becomes a competitive alternative fuel in the coming years, these markets could demand as much as 379 million liters (100 million gallons) of biodiesel. The Food and Agricultural Policy Simulator, an econometric model of U.S. agriculture, was used to estimate the impacts of 76, 193, and 379 million liters (20, 50, and 100 million gallons) of soybean-oil-based biodiesel production on the agricultural sector. The results indicate the effect of increased soybean oil demand on the soybean complex (beans, oil, and meal) and U.S. farm income would be small, but livestock producers and consumers could benefit from low meat prices.

  1. Quantifying Availability in SCADA Environments Using the Cyber Security Metric MFC

    SciTech Connect

    Aissa, Anis Ben; Rabai, Latifa Ben Arfa; Abercrombie, Robert K; Sheldon, Frederick T; Mili, Ali

    2014-01-01

    Supervisory Control and Data Acquisition (SCADA) systems are distributed networks dispersed over large geographic areas that aim to monitor and control industrial processes from remote areas and/or a centralized location. They are used in the management of critical infrastructures such as electric power generation, transmission and distribution, water and sewage, manufacturing/industrial manufacturing as well as oil and gas production. The availability of SCADA systems is tantamount to assuring safety, security and profitability. SCADA systems are the backbone of the national cyber-physical critical infrastructure. Herein, we explore the definition and quantification of an econometric measure of availability, as it applies to SCADA systems; our metric is a specialization of the generic measure of mean failure cost.

  2. Business establishment mobility behavior in urban areas: a microanalytical model for the City of Hamilton in Ontario, Canada

    NASA Astrophysics Data System (ADS)

    Maoh, Hanna; Kanaroglou, Pavlos

    2007-09-01

    We present a microanalytical firm mobility model for the City of Hamilton, Canada, developed with data from the Statistics Canada Business Register. Contributing to the scarce literature on firm migration behavior, we explore and model the determinants of mobility among small and medium size firms who retained less than 200 employees between 1996 and 1997. Our exploratory results suggest that short distance moves are more common and tend to occur among smaller firms. Econometric modeling results support these assertions and indicate that the willingness to move can be explained by a firm’s internal characteristics (e.g. age, size, growth and industry type) as well as location factors related to the urban environment where the firm is located. The modeling results will serve as input for the development of an agent-based firmographic decision support system that can be used to inform the planning process in the study area.

  3. Estimating the Economic Value of Ice Climbing in Hyalite Canyon: An Application of Travel Cost Count Data Models that Account for Excess Zeros*

    PubMed Central

    Anderson, D. Mark

    2009-01-01

    Recently, the sport of ice climbing has seen a drastic increase in popularity. This paper uses the travel cost method to estimate the demand for ice climbing in Hyalite Canyon, Montana, one of the premier ice climbing venues in North America. Access to Hyalite and other ice climbing destinations have been put at risk due to liability issues, public land management agendas, and winter road conditions. To this point, there has been no analysis on the economic benefits of ice climbing. In addition to the novel outdoor recreation application, this study applies econometric methods designed to deal with “excess zeros” in the data. Depending upon model specification, per person per trip values are estimated to be in the range of $76 to $135. PMID:20044202

  4. Climate change risks for African agriculture.

    PubMed

    Müller, Christoph; Cramer, Wolfgang; Hare, William L; Lotze-Campen, Hermann

    2011-03-15

    The Intergovernmental Panel on Climate Change (IPCC) assessment of major risks for African agriculture and food security caused by climate change during coming decades is confirmed by a review of more recent climate change impact assessments (14 quantitative, six qualitative). Projected impacts relative to current production levels range from -100% to +168% in econometric, from -84% to +62% in process-based, and from -57% to +30% in statistical assessments. Despite large uncertainty, there are several robust conclusions from published literature for policy makers and research agendas: agriculture everywhere in Africa runs some risk to be negatively affected by climate change; existing cropping systems and infrastructure will have to change to meet future demand. With respect to growing population and the threat of negative climate change impacts, science will now have to show if and how agricultural production in Africa can be significantly improved.

  5. Does managed care reduce health care expenditure? Evidence from spatial panel data.

    PubMed

    Ehlert, Andree; Oberschachtsiek, Dirk

    2014-09-01

    Similar to, for example, the US, Switzerland or Great Britain the German health care sector has recently undergone a series of reforms towards managed care. These measures are intended to yield both a higher quality of care and cost containment. In our study we ask whether managed care reduces health care expenditure at the market level. We apply a macroeconomic evaluation approach based on a regional panel data set which is as yet unique in the context of managed care. Econometrically, we account for both unobserved heterogeneity and spatial dependence, i.e. regional interrelations in health care. We discuss alternative model specifications and include a range of sensitivity analyses. Our results suggest that in contrast to public perception the share of managed care contracts has a positive impact on pharmaceutical spending, in particular through regional spillover effects. PMID:24691774

  6. Does migration equalize regional unemployment rates? Evidence from Australia.

    PubMed

    Groenewold, N

    1997-01-01

    Whether inter-regional migration equilibrates regional economic performance is a question which has received considerable attention in recent literature. The author examines that question, focusing upon regional unemployment rates and real wages within the context of a 24-hour equation econometric model of the interaction between regional wages, regional unemployment, and inter-regional migration in Australia. Used to solve for steady-state values of wage and unemployment differences, the model determined that the steady state involves non-zero unemployment rate differences and non-zero wage differences. The model is also used to investigate the stability of the equilibrating mechanism and to simulate the effects upon unemployment, migration, and wage rates of a shock to employment growth. The main findings are that inter-regional equilibrating forces are slow and do not help equalize regional unemployment rates or wages. PMID:12295005

  7. Modeling of gold production in Malaysia

    NASA Astrophysics Data System (ADS)

    Muda, Nora; Ainuddeen, Nasihah Rasyiqah; Ismail, Hamizun; Umor, Mohd Rozi

    2013-04-01

    This study was conducted to identify the main factors that contribute to the gold production and hence determine the factors that affect to the development of the mining industry in Malaysia. An econometric approach was used by performing the cointegration analysis among the factors to determine the existence of long term relationship between the gold prices, the number of gold mines, the number of workers in gold mines and the gold production. The study continued with the Granger analysis to determine the relationship between factors and gold production. Results have found that there are long term relationship between price, gold production and number of employees. Granger causality analysis shows that there is only one way relationship between the number of employees with gold production in Malaysia and the number of gold mines in Malaysia.

  8. `Been There Done That': Disentangling Option Value Effects from User Heterogeneity When Valuing Natural Resources with a Use Component

    NASA Astrophysics Data System (ADS)

    Lyssenko, Nikita; Martínez-Espiñeira, Roberto

    2012-11-01

    Endogeneity bias arises in contingent valuation studies when the error term in the willingness to pay (WTP) equation is correlated with explanatory variables because observable and unobservable characteristics of the respondents affect both their WTP and the value of those variables. We correct for the endogeneity of variables that capture previous experience with the resource valued, humpback whales, and with the geographic area of study. We consider several endogenous behavioral variables. Therefore, we apply a multivariate Probit approach to jointly model them with WTP. In this case, correcting for endogeneity increases econometric efficiency and substantially corrects the bias affecting the estimated coefficients of the experience variables, by isolating the decreasing effect on option value caused by having already experienced the resource. Stark differences are unveiled between the marginal effects on WTP of previous experience of the resource in an alternative location versus experience in the location studied, Newfoundland and Labrador (Canada).

  9. Evaluating the effectiveness of the Massachusetts workforce development system using no-shows as a nonexperimental comparison group.

    PubMed

    Raphael, Steven; Stoll, Michael A

    2006-08-01

    This article examines the effect of the Massachusetts workforce development system on the earnings of disadvantaged adults using nonexperimental data from the late 1990s. The authors construct a comparison sample for program participants using individuals who apply for and are offered services yet do not participate in a training program. They present a series of difference-in-difference estimates that make several alternative efforts to correct for selectivity bias, including econometric models that regression adjust for observable characteristics and fixed-effect models that adjust for time-invariant person effects. They also employ probabilistic matching techniques to more finely align the treatment and comparison samples. On average, program participants experienced 20% increases in annual earnings 1 year postintervention and 25% increases after 2 years. The authors uncover considerable heterogeneity in these effects, suggesting that the most difficult to serve and the most job ready benefit the least.

  10. Price impact on urban residential water demand: A dynamic panel data approach

    NASA Astrophysics Data System (ADS)

    ArbuéS, Fernando; BarberáN, Ramón; Villanúa, Inmaculada

    2004-11-01

    In this paper, we formulate and estimate a model of residential water demand with the aim of evaluating the potential of pricing policies as a mechanism for managing residential water. The proposed econometric model offers a new perspective on urban water demand analysis by combining microlevel data with a dynamic panel data estimation procedure. The empirical application suggests that residential users are more responsive to a lagged average price specification. Another result of the estimated model is that price is a moderately effective tool in reducing residential water demand within the present range of prices, with the estimated values for income elasticity and "elasticity of consumption with respect to family size" reinforcing this conclusion.

  11. Prices of unhealthy foods, Food Stamp Program participation, and body weight status among U.S. low-income women†

    PubMed Central

    Zhang, Qi; Chen, Zhuo; Diawara, Norou; Wang, Youfa

    2014-01-01

    This paper examines the interactive effect between the price of unhealthy foods and Food Stamp Program participation on body weight status among low-income women in the United States. We merged the panel data of the National Longitudinal Survey of Youth 1979 cohort in 1985–2002 and the Cost of Living Index data compiled by the American Chamber of Commerce Researchers Association by using geographic identifiers. Using the merged data, we used panel econometric models to examine the impact of unhealthy food prices on the food stamp-eligible U.S. population. Our results indicate that higher prices for unhealthy food can partially offset the positive association between Food Stamp Program participation and bodyweight among low-income women. PMID:25177147

  12. Extended grazing: a detailed analysis of Irish dairy farms.

    PubMed

    Läpple, D; Hennessy, T; O'Donovan, M

    2012-01-01

    Profitability and factors affecting grazing season length were econometrically analyzed using a representative sample of Irish dairy farms. The objective of this study was to explore what potential exists on Irish dairy farms to extend the grazing season and to quantify the possible economic benefits that result from lengthening the grazing season. Regression results indicate that location factors affect the length of the grazing season, but even when physical factors are controlled, farmer characteristics, such as education, also affect the grazing season length. The results of a panel data analysis show that significant cost reductions can be achieved by extending the grazing season. Overall, the findings indicate that lengthening the grazing season offers a cost-saving alternative on many Irish dairy farms, which could contribute to strengthening the competitiveness of the Irish dairy sector.

  13. Education and gender bias in the sex ratio at birth: evidence from India.

    PubMed

    Echávarri, Rebeca A; Ezcurra, Roberto

    2010-02-01

    This article investigates the possible existence of a nonlinear link between female disadvantage in natality and education. To this end, we devise a theoretical model based on the key role of social interaction in explaining people's acquisition of preferences, which justifies the existence of a nonmonotonic relationship between female disadvantage in natality and education. The empirical validity of the proposed model is examined for the case of India, using district-level data. In this context, our econometric analysis pays particular attention to the role of spatial dependence to avoid any potential problems of misspecification. The results confirm that the relationship between the sex ratio at birth and education in India follows an inverted U-shape. This finding is robust to the inclusion of additional explanatory variables in the analysis, and to the choice of the spatial weight matrix used to quantify the spatial interdependence between the sample districts.

  14. The price of a drink: the potential of alcohol minimum unit pricing as a public health measure in the UK.

    PubMed

    Rice, Peter; Drummond, Colin

    2012-09-01

    The UK has seen a dramatic increase in alcohol consumption and alcohol-related harm over the past 30 years. Alcohol taxation has long been considered a key method of controlling alcohol-related harm but a combination of factors has recently led to consideration of methods which affect the price of the cheapest alcohol as a means of improved targeting of alcohol control measures to curb the consumption of the heaviest drinkers. Although much of the evidence in favour of setting a minimum price of a unit of alcohol is based on complex econometric models rather than empirical data, all jurisdictions within the UK now intend to make selling alcohol below a set price illegal, which will provide a naturalistic experiment allowing assessment of the impact of minimum pricing.

  15. Economic Drought Impact on Agriculture: analysis of all agricultural sectors affected

    NASA Astrophysics Data System (ADS)

    Gil, M.; Garrido, A.; Hernández-Mora, N.

    2012-04-01

    The analysis of drought impacts is essential to define efficient and sustainable management and mitigation. In this paper we present a detailed analysis of the impacts of the 2004-2008 drought in the agricultural sector in the Ebro river basin (Spain). An econometric model is applied in order to determine the magnitude of the economic loss attributable to water scarcity. Both the direct impacts of drought on agricultural productivity and the indirect impacts of drought on agricultural employment and agroindustry in the Ebro basin are evaluated. The econometric model measures losses in the economic value of irrigated and rainfed agricultural production, of agricultural employment and of Gross Value Added both from the agricultural sector and the agro-industrial sector. The explanatory variables include an index of water availability (reservoir storage levels for irrigated agriculture and accumulated rainfall for rainfed agriculture), a price index representative of the mix of crops grown in each region, and a time variable. The model allows for differentiating the impacts due to water scarcity from other sources of economic losses. Results show how the impacts diminish as we approach the macro-economic indicators from those directly dependent on water abstractions and precipitation. Sectors directly dependent on water are the most affected with identifiable economic losses resulting from the lack of water. From the management perspective implications of these findings are key to develop mitigation measures to reduce drought risk exposure. These results suggest that more open agricultural markets, and wider and more flexible procurement strategies of the agro-industry reduces the socio-economic exposure to drought cycles. This paper presents the results of research conducted under PREEMPT project (Policy relevant assessment of the socioeconomic effects of droughts and floods, ECHO - grant agreement # 070401/2010/579119/SUB/C4), which constitutes an effort to provide

  16. Analysis of environmental constraints on expanding reserves in current and future reservoirs in wetlands. Final report

    SciTech Connect

    Harder, B.J.

    1995-03-01

    Louisiana wetlands require careful management to allow exploitation of non-renewable resources without destroying renewable resources. Current regulatory requirements have been moderately successful in meeting this goal by restricting development in wetland habitats. Continuing public emphasis on reducing environmental impacts of resource development is causing regulators to reassess their regulations and operators to rethink their compliance strategies. We examined the regulatory system and found that reducing the number of applications required by going to a single application process and having a coherent map of the steps required for operations in wetland areas would reduce regulatory burdens. Incremental changes can be made to regulations to allow one agency to be the lead for wetland permitting at minimal cost to operators. Operators need cost effective means of access that will reduce environmental impacts, decrease permitting time, and limit future liability. Regulators and industry must partner to develop incentive based regulations that can provide significant environmental impact reduction for minimal economic cost. In addition regulators need forecasts of future E&P trends to estimate the impact of future regulations. To determine future activity we attempted to survey potential operators when this approach was unsuccessful we created two econometric models of north and south Louisiana relating drilling activity, success ratio, and price to predict future wetland activity. Results of the econometric models indicate that environmental regulations have a small but statistically significant effect on drilling operations in wetland areas of Louisiana. We examined current wetland practices and evaluated those practices comparing environmental versus economic costs and created a method for ranking the practices.

  17. Stranded cost recovery: Reregulating the electricity markets in the United States

    NASA Astrophysics Data System (ADS)

    Wagle, Pushkar Ghanashyam

    2000-10-01

    For the past few years, Stranded Cost recovery has been one of the most contentious issues regarding the restructuring of electricity markets among the regulators, researchers, and the other interested parties. Among the states that have moved towards retail competition, some have already made decisions regarding the levels of the stranded cost recovery. So the question is: how have these states handled the "stranded cost problem"? Following the introduction and the historical perspective of the industry in the first chapter, the second chapter takes a broad view for understanding the overall process of deregulation. It attempts to analyze why some states have made a rapid transition to competition in the electric utility industry, while other states are just beginning to consider the issue. White (1996) and Ando & Palmer (1998) have conducted a similar exercise. We present a more comprehensive and theoretically informed econometric analysis that sheds light over some of the crucial issues involved in restructuring, such as, stranded cost recovery, regulation of transmission and distribution sectors, and establishment of Independent System Operator, etc. This chapter offers the rationale for alternative econometric techniques, and extends the political economy analysis to incorporate actual timings of retail competition. Once we have identified the role of stranded cost in restructuring and the theoretical foundations, we study empirically the political economy of states' decisions to grant stranded cost recovery. This constitutes the third chapter. Here, we concentrate on California and Pennsylvania, two states that are at the frontiers of deregulation, and compare their respective treatments of the stranded cost. We probe the reasons behind Pennsylvania's lead over California on the path towards deregulation.

  18. An empirical analysis of cigarette demand in Argentina

    PubMed Central

    Martinez, Eugenio; Mejia, Raul; Pérez-Stable, Eliseo J

    2014-01-01

    Objective To estimate the long-term and short-term effects on cigarette demand in Argentina based on changes in cigarette price and income per person >14 years old. Method Public data from the Ministry of Economics and Production were analysed based on monthly time series data between 1994 and 2010. The econometric analysis used cigarette consumption per person >14 years of age as the dependent variable and the real income per person >14 years old and the real average price of cigarettes as independent variables. Empirical analyses were done to verify the order of integration of the variables, to test for cointegration to capture the long-term effects and to capture the short-term dynamics of the variables. Results The demand for cigarettes in Argentina was affected by changes in real income and the real average price of cigarettes. The long-term income elasticity was equal to 0.43, while the own-price elasticity was equal to −0.31, indicating a 10% increase in the growth of real income led to an increase in cigarette consumption of 4.3% and a 10% increase in the price produced a fall of 3.1% in cigarette consumption. The vector error correction model estimated that the short-term income elasticity was 0.25 and the short-term own-price elasticity of cigarette demand was −0.15. A simulation exercise showed that increasing the price of cigarettes by 110% would maximise revenues and result in a potentially large decrease in total cigarette consumption. Conclusion Econometric analyses of cigarette consumption and their relationship with cigarette price and income can provide valuable information for developing cigarette price policy. PMID:23760657

  19. Cost Drivers for Voluntary Medical Male Circumcision Using Primary Source Data from Sub-Saharan Africa

    PubMed Central

    Bollinger, Lori; Adesina, Adebiyi; Forsythe, Steven; Godbole, Ramona; Reuben, Elan; Njeuhmeli, Emmanuel

    2014-01-01

    Background As voluntary medical male circumcision (VMMC) programs scale up, there is a pressing need for information about the important cost drivers, and potential efficiency gains. We examine those cost drivers here, and estimate the potential efficiency gains through an econometric model. Methods and Findings We examined the main cost drivers (i.e., personnel and consumables) associated with providing VMMC in sub-Saharan Africa along a number of dimensions, including facility type and service provider. Primary source facility level data from Kenya, Namibia, South Africa, Tanzania, Uganda, and Zambia were utilized throughout. We estimated the efficiency gains by econometrically estimating a cost function in order to calculate the impact of scale and other relevant factors. Personnel and consumables were estimated at 36% and 28%, respectively, of total costs across countries. Economies of scale (EOS) is estimated to be eight at the median volume of VMMCs performed, and EOS falls from 23 at the 25th percentile volume of VMMCs performed to 5.1 at the 75th percentile. Conclusions The analysis suggests that there is significant room for efficiency improvement as indicated by declining EOS as VMMC volume increases. The scale of the fall in EOS as VMMC volume increases suggests that we are still at the ascension phase of the scale-up of VMMC, where continuing to add new sites results in additional start-up costs as well. A key aspect of improving efficiency is task sharing VMMC procedures, due to the large percentage of overall costs associated with personnel costs. In addition, efficiency improvements in consumables are likely to occur over time as prices and distribution costs decrease. PMID:24802593

  20. Analyzing the Impact of Residential Building Attributes, Demographic and Behavioral Factors on Natural Gas Usage

    SciTech Connect

    Livingston, Olga V.; Cort, Katherine A.

    2011-03-03

    This analysis examines the relationship between energy demand and residential building attributes, demographic characteristics, and behavioral variables using the U.S. Department of Energy’s Residential Energy Consumption Survey 2005 microdata. This study investigates the applicability of the smooth backfitting estimator to statistical analysis of residential energy consumption via nonparametric regression. The methodology utilized in the study extends nonparametric additive regression via local linear smooth backfitting to categorical variables. The conventional methods used for analyzing residential energy consumption are econometric modeling and engineering simulations. This study suggests an econometric approach that can be utilized in combination with simulation results. A common weakness of previously used econometric models is a very high likelihood that any suggested parametric relationships will be misspecified. Nonparametric modeling does not have this drawback. Its flexibility allows for uncovering more complex relationships between energy use and the explanatory variables than can possibly be achieved by parametric models. Traditionally, building simulation models overestimated the effects of energy efficiency measures when compared to actual "as-built" observed savings. While focusing on technical efficiency, they do not account for behavioral or market effects. The magnitude of behavioral or market effects may have a substantial influence on the final energy savings resulting from implementation of various energy conservation measures and programs. Moreover, variability in behavioral aspects and user characteristics appears to have a significant impact on total energy consumption. Inaccurate estimates of energy consumption and potential savings also impact investment decisions. The existing modeling literature, whether it relies on parametric specifications or engineering simulation, does not accommodate inclusion of a behavioral component. This

  1. Soil Moisture as an Estimator for Crop Yield in Germany

    NASA Astrophysics Data System (ADS)

    Peichl, Michael; Meyer, Volker; Samaniego, Luis; Thober, Stephan

    2015-04-01

    Annual crop yield depends on various factors such as soil properties, management decisions, and meteorological conditions. Unfavorable weather conditions, e.g. droughts, have the potential to drastically diminish crop yield in rain-fed agriculture. For example, the drought in 2003 caused direct losses of 1.5 billion EUR only in Germany. Predicting crop yields allows to mitigate negative effects of weather extremes which are assumed to occur more often in the future due to climate change. A standard approach in economics is to predict the impact of climate change on agriculture as a function of temperature and precipitation. This approach has been developed further using concepts like growing degree days. Other econometric models use nonlinear functions of heat or vapor pressure deficit. However, none of these approaches uses soil moisture to predict crop yield. We hypothesize that soil moisture is a better indicator to explain stress on plant growth than estimations based on precipitation and temperature. This is the case because the latter variables do not explicitly account for the available water content in the root zone, which is the primary source of water supply for plant growth. In this study, a reduced form panel approach is applied to estimate a multivariate econometric production function for the years 1999 to 2010. Annual crop yield data of various crops on the administrative district level serve as depending variables. The explanatory variable of major interest is the Soil Moisture Index (SMI), which quantifies anomalies in root zone soil moisture. The SMI is computed by the mesoscale Hydrological Model (mHM, www.ufz.de/mhm). The index represents the monthly soil water quantile at a 4 km2 grid resolution covering entire Germany. A reduced model approach is suitable because the SMI is the result of a stochastic weather process and therefore can be considered exogenous. For the ease of interpretation a linear functionality is preferred. Meteorological

  2. Generality in nanotechnologies and its relationship to economic performance

    NASA Astrophysics Data System (ADS)

    Gomez Baquero, Fernando

    In the history if economic analysis there is perhaps no more important question than the one of how economic development is achieved. For more than a century, economists have explored the role of technology in economic growth but there is still much to be learned about the effect that technologies, in particular emerging ones, have on economic growth and productivity. The objective of this research is to understand the relationship between nanotechnologies and economic growth and productivity, using the theory of General Purpose Technology (GPT)-driven economic growth. To do so, the Generality Index (calculated from patent data) was used to understand the relative pervasiveness of nanotechnologies. The analysis of trends and patterns of Generality Index, using the largest group of patents since the publication of the NBER Patent Database, indicates that nanotechnologies possess a higher average Generality than other technological groups. Next, the relationship between the Generality Index and Total Factor Productivity (TFP) was studied using econometric analysis. Model estimates indicate that the variation in Generality for the group of nanotechnologies can explain a large proportion of the variation in TFP. However, the explanatory power of the entire set of patents (not just nanotechnologies) is larger and corresponds better to the expected theoretical models. Additionally, there is a negative short-run relationship between Generality and TFP, conflicting with part of the theoretical GPT-models. Finally, the relationship between the Generality of nanotechnologies and policy-driven investment events, such as R&D investments and grant awards, was studied using econometric methods. The statistical evidence suggests that NSF awards are related to technologies with higher Generality, while NIH awards and NNI investments are related to a lower average Generality. Overall, results of this research work indicate that the introduction of pervasive technologies into an

  3. Testing simulation and structural models with applications to energy demand

    NASA Astrophysics Data System (ADS)

    Wolff, Hendrik

    2007-12-01

    This dissertation deals with energy demand and consists of two parts. Part one proposes a unified econometric framework for modeling energy demand and examples illustrate the benefits of the technique by estimating the elasticity of substitution between energy and capital. Part two assesses the energy conservation policy of Daylight Saving Time and empirically tests the performance of electricity simulation. In particular, the chapter "Imposing Monotonicity and Curvature on Flexible Functional Forms" proposes an estimator for inference using structural models derived from economic theory. This is motivated by the fact that in many areas of economic analysis theory restricts the shape as well as other characteristics of functions used to represent economic constructs. Specific contributions are (a) to increase the computational speed and tractability of imposing regularity conditions, (b) to provide regularity preserving point estimates, (c) to avoid biases existent in previous applications, and (d) to illustrate the benefits of our approach via numerical simulation results. The chapter "Can We Close the Gap between the Empirical Model and Economic Theory" discusses the more fundamental question of whether the imposition of a particular theory to a dataset is justified. I propose a hypothesis test to examine whether the estimated empirical model is consistent with the assumed economic theory. Although the proposed methodology could be applied to a wide set of economic models, this is particularly relevant for estimating policy parameters that affect energy markets. This is demonstrated by estimating the Slutsky matrix and the elasticity of substitution between energy and capital, which are crucial parameters used in computable general equilibrium models analyzing energy demand and the impacts of environmental regulations. Using the Berndt and Wood dataset, I find that capital and energy are complements and that the data are significantly consistent with duality

  4. The economic potential of carbon sequestration in Californian agricultural land

    NASA Astrophysics Data System (ADS)

    Catala-Luque, Rosa

    This dissertation studies the potential success of a carbon sequestration policy based on payments to farmers for adoption of alternative, less intensive, management practices in California. Since this is a first approach from a Californian perspective, we focus on Yolo County, an important agricultural county of the State. We focus on the six more important crops of the region: wheat, tomato, corn, rice, safflower, and sunflower. In Chapter 1, we characterize the role of carbon sequestration in Climate Change policy. We also give evidence on which alternative management practices have greenhouse gas mitigation potential (reduced tillage, cover-cropping, and organic systems) based on a study of experimental sites. Chapter 2 advances recognizing the need for information at the field level, and describes the survey designed used to obtain data at the field level, something required to perform a complete integrated assessment of the issue. The survey design is complex in the sense that we use auxiliary information to obtain a control (subpopulation of conventional farmers)-case (subpopulation of innovative farmers) design with stratification for land use. We present estimates for population quantities of interest such as total variable costs, profits, managerial experience in different alternatives, etc. This information efficiently gives field level information for innovative farmers, a missing piece of information so far, since our sampling strategy required the inclusion with probability one of farmers identified as innovative. Using an agronomic process model (DayCent) for the sample and population units, we construct carbon mitigation cost curves for each crop and management observed. Chapter 3 builds different econometric models for cross-sectional data taking into account the survey design, and expanding the sample size constructing productivity potential under each alternative. Based on the yield productivity potential modeled for each unit, we conclude that a

  5. Market Anatomy of a Drought: Modeling Barge and Corn Market Adaptation to Reduced Rainfall and Low Mississippi River Water Levels During the 2012 Midwestern U.S. Drought

    NASA Astrophysics Data System (ADS)

    Foster, B.; Characklis, G. W.; Thurman, W. N.

    2015-12-01

    In mid 2012, a severe drought swept across the Midwest, the heartland of corn production in the U.S. When the drought persisted into late Fall, corn markets were affected in two distinct ways: (1) reduced rainfall led to projected and actual corn yields that were lower than expected and (2) navigation restrictions, a result of low water levels on the Mississippi River, disrupted barge transportation, the most common and inexpensive mode for moving corn to many markets. Both (1) and (2) led to significant financial losses, but due to the complexity of the economic system and the coincidence of two different market impacts, the size of the role that low water levels played wass unclear. This is important, as losses related to low water levels are used to justify substantial investments in dredging activities on the Mississippi River. An "engineering" model of the system, suggests that low water levels should drive large increases in barge and corn prices, while some econometric models suggest that water levels explain very little of the changes in barge rates and corn prices. Employing a model that integrates both the engineering and economic elements of the system indicates that corn prices and barge rates during the drought display spatial and temporal behavior that is difficult to explain using either the engineering or econometric models alone. This integrated model accounts for geographic and temporal variations in drought impacts and identifies unique market responses to four different sets of conditions over the drought's length. Results illustrate that corn and barge price responses during the drought were a product of comingled, but distinct, reactions to both supply changes and navigation disruptions. Results also provide a more structured description of how the economic system that governs corn allocation interacts with the Mississippi River system during drought. As both public and private parties discuss potential managerial or infrastructural methods

  6. Economic Impacts of Wind Turbine Development in U.S. Counties

    SciTech Connect

    J., Brown; B., Hoen; E., Lantz; J., Pender; R., Wiser

    2011-07-25

    The objective is to address the research question using post-project construction, county-level data, and econometric evaluation methods. Wind energy is expanding rapidly in the United States: Over the last 4 years, wind power has contributed approximately 35 percent of all new electric power capacity. Wind power plants are often developed in rural areas where local economic development impacts from the installation are projected, including land lease and property tax payments and employment growth during plant construction and operation. Wind energy represented 2.3 percent of the U.S. electricity supply in 2010, but studies show that penetrations of at least 20 percent are feasible. Several studies have used input-output models to predict direct, indirect, and induced economic development impacts. These analyses have often been completed prior to project construction. Available studies have not yet investigated the economic development impacts of wind development at the county level using post-construction econometric evaluation methods. Analysis of county-level impacts is limited. However, previous county-level analyses have estimated operation-period employment at 0.2 to 0.6 jobs per megawatt (MW) of power installed and earnings at $9,000/MW to $50,000/MW. We find statistically significant evidence of positive impacts of wind development on county-level per capita income from the OLS and spatial lag models when they are applied to the full set of wind and non-wind counties. The total impact on annual per capita income of wind turbine development (measured in MW per capita) in the spatial lag model was $21,604 per MW. This estimate is within the range of values estimated in the literature using input-output models. OLS results for the wind-only counties and matched samples are similar in magnitude, but are not statistically significant at the 10-percent level. We find a statistically significant impact of wind development on employment in the OLS analysis for

  7. Calendar

    NASA Astrophysics Data System (ADS)

    2004-06-01

    JULY 2004 2nd World Congress of the Game Theory Society, Faculty of Luminy, Marseille, France 5-9 July 2004 Europa Organisation (europa@europa-organisation.com), +33 5 34 45 26 45, www.gts2004.org Budapest Workshop on Behavioral Economics, Central European University, Budapest, Hungary 5-10 July 2004 Eva Dotzi (behavecon@ceu.hu), www.iza.org/en/calls_conferences/CallCEU_04.pdf FDA'04. 1st IFAC Workshop on Fractional Differentiation and its Applications, Bordeaux, France 19-20 July 2004 IFAC secretariat (fda04@lap.u-bordeaux1.fr), www.lap.u-bordeaux.fr/fda04/ Bachelier Finance Society Third World Congress, InterContinental Hotel, Chicago, IL, USA 21-24 July 2004 bfs2004@uic.edu, www.uic.edu/orgs/bachelier/ BS/IMS 2004. 6th World Congress of the Bernoulli Society for Mathematical Statistics and Probability, Barcelona, Spain 26-31 July 2004 wc2004@pacifico-meetings.com, +34 93 402 13 85, www.imub.ub.es/events/wc2004 AUGUST 2004 Summer School in Econometrics. The Cointegrated VAR Model: Econometric Methodology and Macroeconomic Applications, Institute of Economics, University of Copenhagen, Denmark 2-22 August 2004 Summerschool@econ.ku.dk, www.econ.ku.dk/summerschool SEPTEMBER 2004 First Bonzenfreies Colloquium on Market Dynamics and Quantitative Economics, Alessandria, Palazzo Borsalino, Italy 9-10 September 2004 colloquium@unipmn.it, www.mfn.unipmn.it/~colloqui/ Risk Analysis 2004. 4th International Conference on Computer Simulation in Risk Analysis and Hazard Mitigation, Aldemar Paradise Royal Mare Hotel, Rhodes, Greece 27-29 September 2004 enquiries@wessex.ac.uk, +44 (0)238 029 3223, www.wessex.ac.uk/conferences/2004/risk04/ OCTOBER 2004 IRC Hedge 2004, InterContinental Hotel, London, UK 10, 11 October 2004 enquiries@irc-conferences.com, www.irc-conferences.com/show_conference.php?id=10 NOVEMBER 2004 IRC DICE 2004, InterContinental Hotel, London, UK 22, 23 November 2004 enquiries@irc-conferences.com, www.irc-conferences.com/show_conference.php?id=13 DECEMBER 2004

  8. [The methods selected and the assumption fixed for the population projection by region: the case of Japan since the 1960s (author's transl)].

    PubMed

    Kawabe, H

    1983-01-01

    interrelationships between migration and socioeconomic factors which affect migration. It was emphasized that migration rates should be estimated by use of the econometric techniques such as the system dynamics model. The careful analysis of the assumptions fixed in 21 cases allowed the authors to conclude that 1 of these projections had not succeeded in obtaining satisfactory results, even when estimated by econometric techniques. This is partly due to the lack of information the relationships between migration and socioeconomic factors affecting migration, and partly due to the difficulties in estimating the future trend of socioeconomic variables. (author's modified)

  9. Essays on measurement and evaluation of demand side management programs in the electricity industry, and impacts of firm strategy on stock price in the biotechnology industry

    NASA Astrophysics Data System (ADS)

    Bandres Motola, Miguel A.

    Essay one estimates changes in small business customer energy consumption (kWh) patterns resulting from a seasonally differentiated pricing structure. Econometric analysis leverages cross-sectional time series data across the entire population of affected customers, from 2007 through the present. Observations include: monthly energy usage (kWh), relevant customer segmentations, local daily temperature, energy price, and region-specific economic conditions, among other variables. The study identifies the determinants of responsiveness to seasonal price differentiation. In addition, estimated energy consumption changes occurring during the 2010 summer season are reported for the average customer and in aggregate grouped by relevant customer segments, climate zone, and total customer base. Essay two develops an econometric modeling methodology to evaluate load impacts for short duration demand response events. The study analyzes time series data from a season of direct load control program tests aimed at integrating demand response into the wholesale electricity market. I have combined "fuzzy logic" with binary variables to create "fuzzy indicator variables" that allow for measurement of short duration events while using industry standard model specifications. Typically, binary variables for every hour are applied in load impact analysis of programs dispatched in hourly intervals. As programs evolve towards integration with the wholesale market, event durations become irregular and often occur for periods of only a few minutes. This methodology is innovative in that it conserves the degrees of freedom in the model while allowing for analysis of high frequency data using fixed effects. Essay three examines the effects of strategies, intangibles, and FDA news on the stocks of young biopharmaceutical firms. An event study methodology is used to explore those effects. This study investigates 20,839 announcements from 1990 to 2005. Announcements on drug development

  10. An analysis of the factors influencing demand-side management activity in the electric utility industry

    NASA Astrophysics Data System (ADS)

    Bock, Mark Joseph

    Demand-side management (DSM), defined as the "planning, implementation, and monitoring of utility activities designed to encourage consumers to modify their pattern of electricity usage, including the timing and level of electricity demand," is a relatively new concept in the U.S. electric power industry. Nevertheless, in twenty years since it was first introduced, utility expenditures on DSM programs, as well as the number of such programs, have grown rapidly. At first glance, it may seem peculiar that a firm would actively attempt to reduce demand for its primary product. There are two primary explanations as to why a utility might pursue DSM: regulatory mandate, and self-interest. The purpose of this dissertation is to determine the impact these influences have on the amount of DSM undertaken by utilities. This research is important for two reasons. First, it provides insight into whether DSM will continue to exist as competition becomes more prevalent in the industry. Secondly, it is important because no one has taken a comprehensive look at firm-level DSM activity on an industry-wide basis. The primary data set used in this dissertation is the U.S. Department of Energy's Annual Electric Utility Report, Form EIA-861, which represents the most comprehensive data set available for analyzing DSM activity in the U.S. There are four measures of DSM activity in this data set: (1) utility expenditures on DSM programs; (2) energy savings by DSM program participants; and (3) the actual and (4) the potential reductions in peak load resulting from utility DSM measures. Each is used as the dependent variable in an econometric analysis where independent variables include various utility characteristics, regulatory characteristics, and service territory and customer characteristics. In general, the results from the econometric analysis suggest that in 1993, DSM activity was primarily the result of regulatory pressure. All of the evidence suggests that if DSM continues to

  11. Preliminary analysis of projected construction employment effects of building the defense waste processing facility at the Savannah River Plant

    SciTech Connect

    Garey, R.B.; Blair, L.M.; Craig, R.L.; Stevenson, W.

    1981-09-01

    This study estimates the probable effects of constructing the DWPF on the surrounding labor markets. Analyses are based on data from the local and regional labor markets, information from experts on local construction activities, information on the labor requirements of the Vogtle Power Plant (two nuclear reactors) being built by Georgia Power Company in Burke County, Georgia, and an econometric model of the construction labor market, based on several surveys of workers building three Tennessee Valley Authority nuclear power plants. The results of this study are reported in three parts. In Part I, completed in May 1980, we describe the 1979 (base year) employment levels within the local and regional labor markets surrounding SRP, from which most DWPF construction workers are likely to be drawn. In Part II, completed in June 1980, we define the four local sources of construction employment that will compete for craftsmen when DWPF is built. Also in Part II, most of the projected impacts of the DWPF reference immobilization alternative (one of several alternatives that may be chosen) are reported. Several construction schedules and labor demand scenarios for the reference alternative are considered. In Part III, completed in January 1981, most of the estimated impacts of the DWPF alternative referred to as the staged process alternative are reported. Several construction schedules and labor demand scenarios for this alternative are considered.

  12. Analyzing the Social Factors That Influence Willingness to Pay for Invasive Alien Species Management Under Two Different Strategies: Eradication and Prevention

    NASA Astrophysics Data System (ADS)

    García-Llorente, Marina; Martín-López, Berta; Nunes, Paulo A. L. D.; González, José A.; Alcorlo, Paloma; Montes, Carlos

    2011-09-01

    Biological invasions occur worldwide, and have been the object of ecological and socio-economic research for decades. However, the manner in which different stakeholder groups identify the problems associated with invasive species and confront invasive species management under different policies remains poorly understood. In this study, we conducted an econometric analysis of the social factors influencing willingness to pay for invasive alien species management under two different regimes: eradication and prevention in the Doñana Natural Protected Area (SW Spain). Controlling for the participation of local residents, tourists and conservationists, email and face-to-face questionnaires were conducted. Results indicated that respondents were more willing to pay for eradication than prevention; and public support for invasive alien species management was influenced by an individual's knowledge and perception of invasive alien species, active interest in nature, and socio-demographic attributes. We concluded that invasive alien species management research should confront the challenges to engage stakeholders and accept any tradeoffs necessary to modify different conservation policies to ensure effective management is implemented. Finally, our willingness to pay estimates suggest the Department of Environment of Andalusian Government has suitable social support to meet the budgetary expenditures required for invasive alien species plans and adequate resources to justify an increase in the invasive alien species management budget.

  13. Does grassroots democracy reduce income inequality in China?*

    PubMed Central

    Shen, Yan; Yao, Yang

    2014-01-01

    Using village and household survey data collected from 48 villages of eight Chinese provinces for the period 1986–2002, this paper studies how the introduction of village elections affects income distribution at the village level. We estimate both a static fixed-effect panel model and a dynamic panel model for the within-village Gini coefficient and take care of the endogeneity of the introduction of elections. The dynamic panel model shows that having elections reduces the Gini coefficient by 0.04, or 14.3% of the sample average. We also find that elections tend to increase the income shares of poorer portions of the population. Further econometric analysis based on dynamic panel models shows that elections increase per-capita public expenditures by 271 Yuan, but do not increase the level or progressiveness of net or total income transfer in a village. Therefore, elections’ positive role in reducing income inequality is not played through more income redistribution, but through more pro-poor public investment. PMID:26052164

  14. Economic development and coastal ecosystem change in China

    PubMed Central

    He, Qiang; Bertness, Mark D.; Bruno, John F.; Li, Bo; Chen, Guoqian; Coverdale, Tyler C.; Altieri, Andrew H.; Bai, Junhong; Sun, Tao; Pennings, Steven C.; Liu, Jianguo; Ehrlich, Paul R.; Cui, Baoshan

    2014-01-01

    Despite their value, coastal ecosystems are globally threatened by anthropogenic impacts, yet how these impacts are driven by economic development is not well understood. We compiled a multifaceted dataset to quantify coastal trends and examine the role of economic growth in China's coastal degradation since the 1950s. Although China's coastal population growth did not change following the 1978 economic reforms, its coastal economy increased by orders of magnitude. All 15 coastal human impacts examined increased over time, especially after the reforms. Econometric analysis revealed positive relationships between most impacts and GDP across temporal and spatial scales, often lacking dropping thresholds. These relationships generally held when influences of population growth were addressed by analyzing per capita impacts, and when population density was included as explanatory variables. Historical trends in physical and biotic indicators showed that China's coastal ecosystems changed little or slowly between the 1950s and 1978, but have degraded at accelerated rates since 1978. Thus economic growth has been the cause of accelerating human damage to China's coastal ecosystems. China's GDP per capita remains very low. Without strict conservation efforts, continuing economic growth will further degrade China's coastal ecosystems. PMID:25104138

  15. Global sulfur emissions from 1850 to 2000.

    PubMed

    Stern, David I

    2005-01-01

    The ASL database provides continuous time-series of sulfur emissions for most countries in the World from 1850 to 1990, but academic and official estimates for the 1990s either do not cover all years or countries. This paper develops continuous time series of sulfur emissions by country for the period 1850-2000 with a particular focus on developments in the 1990s. Global estimates for 1996-2000 are the first that are based on actual observed data. Raw estimates are obtained in two ways. For countries and years with existing published data I compile and integrate that data. Previously published data covers the majority of emissions and almost all countries have published emissions for at least 1995. For the remaining countries and for missing years for countries with some published data, I interpolate or extrapolate estimates using either an econometric emissions frontier model, an environmental Kuznets curve model, or a simple extrapolation, depending on the availability of data. Finally, I discuss the main movements in global and regional emissions in the 1990s and earlier decades and compare the results to other studies. Global emissions peaked in 1989 and declined rapidly thereafter. The locus of emissions shifted towards East and South Asia, but even this region peaked in 1996. My estimates for the 1990s show a much more rapid decline than other global studies, reflecting the view that technological progress in reducing sulfur based pollution has been rapid and is beginning to diffuse worldwide.

  16. Economic growth and the demand for dietary quality: Evidence from Russia during transition.

    PubMed

    Burggraf, Christine; Teuber, Ramona; Brosig, Stephan; Glauben, Thomas

    2015-12-01

    The increasing incidence of nutrition-related chronic diseases worldwide has raised people's awareness of dietary quality. Most existing studies on the topic of changing nutrition patterns measure dietary quality by single macronutrient indicators or anthropometric outcomes. However, such an approach is often too narrow to provide a picture of overall dietary quality and is sometimes even misleading. This study contributes to the existing literature by taking into account that the analysis of dietary quality comprises two dimensions: the adequate intake of vitamins and minerals, as well as the moderate intake of nutrients that increase the risk of chronic diseases. Thereby, we apply Grossman's health investment model to the analysis of the demand for dietary quality, explicitly addressing the different dimensions of dietary quality and the intertemporal character of health investments. We apply our approach to Russia using data from the Russia Longitudinal Monitoring Survey from 1996 to 2008. Our results show that intake levels of vitamins and minerals as well as saturated and total fatty acids increased after 1998 along with economic recovery, while the intake of fiber decreased. Our econometric results imply an income elasticity of vitamins and minerals of 0.051, and an income elasticity of fats of 0.073. Overall, our results are in line with an ongoing nutrition transition in the Russian Federation, which is marked by decreasing deficiencies in vitamins and minerals, as well as the increasing consumption of fats with its accompanying negative health consequences. PMID:26469973

  17. Estimating the economic and demographic impacts of solar technology commercialization on US regions

    SciTech Connect

    Kort, J.R.

    1980-12-01

    The purpose of this study is to develop a framework through which these regional economic and demographic impacts of solar technology commercialization can be analyzed. Two models comprise the basis of this framework - a national input/output model and an interregional econometric model, the National-Regional Impact Evaluation System (NRIES). These models are used to convert projected sales of solar energy systems to gross output concepts, and to evaluate the impacts associated with these sales. Analysis is provided for the nine census regions and 50 states and the District of Columbia for the years 1980 through 1990. Impacts on major economic aggregates such as output, employment, income, and population are described. The methodology used in this study is described. The economic and demographic impacts of solar technology commercialization on US regions and states are presented. The major conclusions of the study are summarized, and direction is provided for further research. Detailed tables of regional and state solar energy expenditures and their impacts appear in the Appendix.

  18. What are the policy lessons of National Alcohol Prohibition in the United States, 1920-1933?

    PubMed

    Hall, Wayne

    2010-07-01

    National alcohol prohibition in the United States between 1920 and 1933 is believed widely to have been a misguided and failed social experiment that made alcohol problems worse by encouraging drinkers to switch to spirits and created a large black market for alcohol supplied by organized crime. The standard view of alcohol prohibition provides policy lessons that are invoked routinely in policy debates about alcohol and other drugs. The alcohol industry invokes it routinely when resisting proposals to reduce the availability of alcohol, increase its price or regulate alcohol advertising and promotion. Advocates of cannabis law reform invoke it frequently in support of their cause. This paper aims: (i) to provide an account of alcohol prohibition that is more accurate than the standard account because it is informed by historical and econometric analyses; (ii) to describe the policy debates in the 1920s and 1930s about the effectiveness of national prohibition; and (iii) to reflect on any relevance that the US experience with alcohol prohibition has for contemporary policies towards alcohol. It is incorrect to claim that the US experience of National Prohibition indicates that prohibition as a means of regulating alcohol is always doomed to failure. Subsequent experience shows that partial prohibitions can produce substantial public health benefits at an acceptable social cost, in the absence of substantial enforcement.

  19. Measurement error and outcome distributions: Methodological issues in regression analyses of behavioral coding data.

    PubMed

    Holsclaw, Tracy; Hallgren, Kevin A; Steyvers, Mark; Smyth, Padhraic; Atkins, David C

    2015-12-01

    Behavioral coding is increasingly used for studying mechanisms of change in psychosocial treatments for substance use disorders (SUDs). However, behavioral coding data typically include features that can be problematic in regression analyses, including measurement error in independent variables, non normal distributions of count outcome variables, and conflation of predictor and outcome variables with third variables, such as session length. Methodological research in econometrics has shown that these issues can lead to biased parameter estimates, inaccurate standard errors, and increased Type I and Type II error rates, yet these statistical issues are not widely known within SUD treatment research, or more generally, within psychotherapy coding research. Using minimally technical language intended for a broad audience of SUD treatment researchers, the present paper illustrates the nature in which these data issues are problematic. We draw on real-world data and simulation-based examples to illustrate how these data features can bias estimation of parameters and interpretation of models. A weighted negative binomial regression is introduced as an alternative to ordinary linear regression that appropriately addresses the data characteristics common to SUD treatment behavioral coding data. We conclude by demonstrating how to use and interpret these models with data from a study of motivational interviewing. SPSS and R syntax for weighted negative binomial regression models is included in online supplemental materials.

  20. Tradeoffs among carbon, biodiversity, and economic returns for future land-use scenarios in the conterminous United States

    NASA Astrophysics Data System (ADS)

    Pennington, D. N.; Nelson, E.; Polasky, S.; Plantinga, A.; Lewis, D.; Whithey, J.; Radeloff, V.; Lawler, J.; White, D.; Martinuzzi, S.; Helmers, D.; Lonsdorf, E.

    2011-12-01

    Land-use change significantly contributes to biodiversity loss, changes ecosystem processes, and causes ultimately the loss of ecosystem services. Planning for a sustainable future requires a thorough understanding of expected future land use at both the fine-spatial scale relevant for many ecological processes and at the larger regional levels relevant for large-scale policy making. We use an econometric model to predict business as usual land-use change across the continental US with 100-m resolution in 5-year time steps from 2001 to 2051. We then simulate the affect of various national-level tax, subsidy, and zoning policies on expected land-use change over this time frame. Further, we model the impact of projected land-use change under business as usual and the various policy scenarios on carbon sequestration and biodiversity conservation in the conterminous United States. Our results showed that overall, land use composition will remain fairly stable, but there are considerable regional changes. Differences among policy scenarios were relatively minor highlighting that the underlying economic drivers of land use patterns are strong, and even fairly drastic policies may not be able to change these.

  1. Economic cycles and heart disease in Mexico.

    PubMed

    Quast, Troy; Gonzalez, Fidel

    2014-05-01

    While a considerable literature has emerged regarding the relationship between the business cycles and mortality rates, relatively little is known regarding how economic fluctuations are related to morbidity. We investigate the relationship between business cycles and heart disease in Mexico using a unique state-level dataset of 512 observations consisting of real GDP and heart disease incidence rates (overall and by age group) from 1995 to 2010. Our study is one of the first to use a state-level panel approach to analyze the relationship between the business cycle and morbidity. Further, the state and year fixed effects employed in our econometric specification reduce possible omitted variable bias. We find a general procyclical, although largely statistically insignificant, contemporaneous relationship. However, an increase in GDP per capita sustained over five years is associated with considerable increases in the incidence rates of ischemic heart disease and hypertension. This procyclical relationship appears strongest in the states with the lowest levels of development and for the oldest age groups. Our results suggest that economic fluctuations may have important lagged effects on heart disease in developing countries.

  2. Radiation Therapy Resources and Guideline-Concordant Radiotherapy for Early-Stage Breast Cancer Patients in an Underserved Region

    PubMed Central

    Yao, Nengliang; Matthews, Stephen A; Hillemeier, Marianne M; Anderson, Roger T

    2013-01-01

    Objective To examine the relationship between radiation therapy resources and guideline-concordant radiotherapy after breast-conserving surgery (BCS) in Kentucky. Data Sources The SEER registry and Area Resource File provided county-level data describing cancer care resources and socioeconomic conditions of Kentucky residents. Study Design The outcome variable was rate of BCS without radiotherapy in each county for 2000–2007. Eight-year weighted average rates of radiation therapy providers and hospitals per 100,000 residents were explanatory variables of interest. Exploratory spatial data analyses and spatial econometric models were estimated. Principal Findings Appalachian counties in Kentucky had significantly fewer radiation oncologists, hospitals with radiation therapy facilities, and surgeons per 100,000 residents than non-Appalachian counties. The likelihood of BCS without radiation was significantly higher among Appalachian compared to non-Appalachian women (42.5 percent vs. 29.0 percent, p < .001). Higher proportions of women not receiving recommended radiotherapy after BCS were clustered in Eastern Kentucky around Lexington. This geographic disparity was partially explained by significantly fewer radiation therapy facilities in Appalachian Kentucky in adjusted analyses. Conclusions Scarce radiation therapy resources in Appalachian Kentucky are associated with disparities in receipt of guideline-concordant radiotherapy, suggesting that policy action is needed to improve the cancer treatment infrastructure in disadvantaged mountainous areas. PMID:23445478

  3. Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases

    PubMed Central

    Williams, Kevin; Bilsland, Elizabeth; Sparkes, Andrew; Aubrey, Wayne; Young, Michael; Soldatova, Larisa N.; De Grave, Kurt; Ramon, Jan; de Clare, Michaela; Sirawaraporn, Worachart; Oliver, Stephen G.; King, Ross D.

    2015-01-01

    There is an urgent need to make drug discovery cheaper and faster. This will enable the development of treatments for diseases currently neglected for economic reasons, such as tropical and orphan diseases, and generally increase the supply of new drugs. Here, we report the Robot Scientist ‘Eve’ designed to make drug discovery more economical. A Robot Scientist is a laboratory automation system that uses artificial intelligence (AI) techniques to discover scientific knowledge through cycles of experimentation. Eve integrates and automates library-screening, hit-confirmation, and lead generation through cycles of quantitative structure activity relationship learning and testing. Using econometric modelling we demonstrate that the use of AI to select compounds economically outperforms standard drug screening. For further efficiency Eve uses a standardized form of assay to compute Boolean functions of compound properties. These assays can be quickly and cheaply engineered using synthetic biology, enabling more targets to be assayed for a given budget. Eve has repositioned several drugs against specific targets in parasites that cause tropical diseases. One validated discovery is that the anti-cancer compound TNP-470 is a potent inhibitor of dihydrofolate reductase from the malaria-causing parasite Plasmodium vivax. PMID:25652463

  4. Spatiotemporal Characteristics, Determinants and Scenario Analysis of CO2 Emissions in China Using Provincial Panel Data

    PubMed Central

    Wang, Shaojian

    2015-01-01

    This paper empirically investigated the spatiotemporal variations, influencing factors and future emission trends of China’s CO2 emissions based on a provincial panel data set. A series of panel econometric models were used taking the period 1995–2011 into consideration. The results indicated that CO2 emissions in China increased over time, and were characterized by noticeable regional discrepancies; in addition, CO2 emissions also exhibited properties of spatial dependence and convergence. Factors such as population scale, economic level and urbanization level exerted a positive influence on CO2 emissions. Conversely, energy intensity was identified as having a negative influence on CO2 emissions. In addition, the significance of the relationship between CO2 emissions and the four variables varied across the provinces based on their scale of economic development. Scenario simulations further showed that the scenario of middle economic growth, middle population increase, low urbanization growth, and high technology improvement (here referred to as Scenario BTU), constitutes the best development model for China to realize the future sustainable development. Based on these empirical findings, we also provide a number of policy recommendations with respect to the future mitigation of CO2 emissions. PMID:26397373

  5. Analyzing the social factors that influence willingness to pay for invasive alien species management under two different strategies: eradication and prevention.

    PubMed

    García-Llorente, Marina; Martín-López, Berta; Nunes, Paulo A L D; González, José A; Alcorlo, Paloma; Montes, Carlos

    2011-09-01

    Biological invasions occur worldwide, and have been the object of ecological and socio-economic research for decades. However, the manner in which different stakeholder groups identify the problems associated with invasive species and confront invasive species management under different policies remains poorly understood. In this study, we conducted an econometric analysis of the social factors influencing willingness to pay for invasive alien species management under two different regimes: eradication and prevention in the Doñana Natural Protected Area (SW Spain). Controlling for the participation of local residents, tourists and conservationists, email and face-to-face questionnaires were conducted. Results indicated that respondents were more willing to pay for eradication than prevention; and public support for invasive alien species management was influenced by an individual's knowledge and perception of invasive alien species, active interest in nature, and socio-demographic attributes. We concluded that invasive alien species management research should confront the challenges to engage stakeholders and accept any tradeoffs necessary to modify different conservation policies to ensure effective management is implemented. Finally, our willingness to pay estimates suggest the Department of Environment of Andalusian Government has suitable social support to meet the budgetary expenditures required for invasive alien species plans and adequate resources to justify an increase in the invasive alien species management budget.

  6. A Regional Approach to Market Monitoring in the West

    SciTech Connect

    Barmack, Matthew; Kahn, Edward; Tierney, Susan; Goldman, Charles

    2006-10-01

    Market monitoring involves the systematic analysis of pricesand behavior in wholesale power markets to determine when and whetherpotentially anti-competitive behavior is occurring. Regional TransmissionOrganizations (RTOs) typically have a market monitoring function. Becausethe West does not have active RTOs outside of California, it does nothave the market monitoring that RTOs have. In addition, because the Westoutside of California does not have RTOs that perform centralized unitcommitment and dispatch, the rich data that are typically available tomarket monitors in RTO markets are not available in the West outside ofCalifornia. This paper examines the feasibility of market monitoring inthe West outside of California given readily available data. We developsimple econometric models of wholesale power prices in the West thatmight be used for market monitoring. In addition, we examine whetherproduction cost simulations that have been developed for long-runplanning might be useful for market monitoring. We find that simpleeconometric models go a long ways towards explaining wholesale powerprices in the West and might be used to identify potentially anomalousprices. In contrast, we find that the simulated prices from a specificset of production cost simulations exhibit characteristics that aresufficiently different from observed prices that we question theirusefulness for explaining price formation in the West and hence theirusefulness as a market monitoring tool.

  7. The remittances of migrant Tongan and Samoan nurses from Australia

    PubMed Central

    Connell, John; Brown, Richard PC

    2004-01-01

    Background Migration and remittances are of considerable importance in the small Pacific island states. There has been a significant migration of skilled health workers in recent decades to metropolitan fringe states, including Australia and New Zealand. This paper reports the findings of a re-analysis of survey of Samoan and Tongan migrants in Australia where the sample is split between nurse households and others. Methods The study analyzes the survey data with a view to comparing the remittance behaviour and determinants of remittances for nurses and other migrant households, using both descriptive, cross-tabulations and appropriate econometric methods. Results It is found that a significantly higher proportion of nurse households sent remittances home, and, on average remitted more. Remittances of nurse households did not decline significantly over time contrary to what has generally been predicted. This was in contrast to other migrant households in the sample, for whom remittances showed a sharp decline after 15 years absence. Remittances contribute much more to the income of migrant sending countries, than the cost of the additional human capital in nurse training. Conclusions Given the shortage of nurses in Australia and New Zealand, and therefore the high demand for immigrant nurses, investment by Pacific island governments and families in nurse training constitutes a rational use of economic resources. Policies encouraging investment in home countries may be more effective than policies directly discouraging brain drain in contributing to national development. PMID:15078577

  8. Latent class instrumental variables: a clinical and biostatistical perspective.

    PubMed

    Baker, Stuart G; Kramer, Barnett S; Lindeman, Karen S

    2016-01-15

    In some two-arm randomized trials, some participants receive the treatment assigned to the other arm as a result of technical problems, refusal of a treatment invitation, or a choice of treatment in an encouragement design. In some before-and-after studies, the availability of a new treatment changes from one time period to this next. Under assumptions that are often reasonable, the latent class instrumental variable (IV) method estimates the effect of treatment received in the aforementioned scenarios involving all-or-none compliance and all-or-none availability. Key aspects are four initial latent classes (sometimes called principal strata) based on treatment received if in each randomization group or time period, the exclusion restriction assumption (in which randomization group or time period is an instrumental variable), the monotonicity assumption (which drops an implausible latent class from the analysis), and the estimated effect of receiving treatment in one latent class (sometimes called efficacy, the local average treatment effect, or the complier average causal effect). Since its independent formulations in the biostatistics and econometrics literatures, the latent class IV method (which has no well-established name) has gained increasing popularity. We review the latent class IV method from a clinical and biostatistical perspective, focusing on underlying assumptions, methodological extensions, and applications in our fields of obstetrics and cancer research.

  9. Persistent Symptoms of Dengue: Estimates of the Incremental Disease and Economic Burden in Mexico

    PubMed Central

    Tiga, D. Carolina; Undurraga, Eduardo A.; Ramos-Castañeda, José; Martínez-Vega, Ruth A.; Tschampl, Cynthia A.; Shepard, Donald S.

    2016-01-01

    Dengue is mostly considered an acute illness with three phases: febrile, critical with possible hemorrhagic manifestations, and recovery. But some patients present persistent symptoms, including fatigue and depression, as acknowledged by the World Health Organization. If persistent symptoms affect a non-negligible share of patients, the burden of dengue will be underestimated. On the basis of a systematic literature review and econometric modeling, we found a significant relationship between the share of patients reporting persisting symptoms and time. We updated estimates of the economic burden of dengue in Mexico, addressing uncertainty in productivity loss and incremental expenses using Monte Carlo simulations. Persistent symptoms represent annually about US$22.6 (95% certainty level [CL]: US$13–US$29) million in incremental costs and 28.2 (95% CL: 21.6–36.2) additional disability-adjusted life years per million population, or 13% and 43% increases over previous estimates, respectively. Although our estimates have uncertainty from limited data, they show a substantial, unmeasured burden. Similar patterns likely extend to other dengue-endemic countries. PMID:26976885

  10. Using the Lorenz Curve to Characterize Risk Predictiveness and Etiologic Heterogeneity.

    PubMed

    Mauguen, Audrey; Begg, Colin B

    2016-07-01

    The Lorenz curve is a graphical tool that is used widely in econometrics. It represents the spread of a probability distribution, and its traditional use has been to characterize population distributions of wealth or income, or more specifically, inequalities in wealth or income. However, its utility in public health research has not been broadly established. The purpose of this article is to explain its special usefulness for characterizing the population distribution of disease risks, and in particular for identifying the precise disease burden that can be predicted to occur in segments of the population that are known to have especially high (or low) risks, a feature that is important for evaluating the yield of screening or other disease prevention initiatives. We demonstrate that, although the Lorenz curve represents the distribution of predicted risks in a population at risk for the disease, in fact it can be estimated from a case-control study conducted in the population without the need for information on absolute risks. We explore two different estimation strategies and compare their statistical properties using simulations. The Lorenz curve is a statistical tool that deserves wider use in public health research. PMID:27096256

  11. The physical, economic and policy drivers of land conversion to forestry in Ireland.

    PubMed

    Upton, Vincent; O'Donoghue, Cathal; Ryan, Mary

    2014-01-01

    Land use change is fundamentally a product of the interaction of physical land characteristics, economic considerations and agricultural and environmental policies. Researchers are increasingly combining physical and socio-economic spatial data to investigate the drivers of land-use change in relation to policy and economic developments. Focusing on Ireland, this study develops a panel data set of annual afforestation over 2811 small-area boundaries between 1993 and 2007 from vector and raster data sources. Soil type and other physical characteristics are combined with the net returns of converting agricultural land to forestry, based on the micro-simulation of individual farm incomes, to investigate land conversion. A spatial econometric approach is adopted to model the data and a range of physical, economic and policy factors are identified as having a significant effect on afforestation rates. In addition to the financial returns, the availability and quality of land and the implementation of environmental protection policies are identified as important factors in land conversion. The implications of these factors for the goal of forest expansion are discussed in relation to conflicting current and future land use policies.

  12. [30 years' development of economic theories in confrontation with facts].

    PubMed

    Levy, F

    1994-01-01

    In 1969, R. Frish and J. Tinbergen received the first Nobel Price in Economics. 200 years after Quesnay's "economic tables", economics were at last considered as a science. During the last thirty years, economics haven't lost their scientific reputation, but, confronted with different situations in the world and in France, economics have been unable to bring appropriate solutions to every problem. Nowadays, economics are quite far from the promises born after the Second World War: indeed, until the 1974 world crisis, Keynes' theory (from a macro-economic point of view) and Walras' formalisation of the markets (from a micro-economic point of view) were sufficient to give satisfying representations of any economic reality and mechanism. Nevertheless, these theories were unable to deal with both growing unemployment and raising inflation in the late 70's and early 80's. Today, economics present a wide variety of efficient analysis of society. Game theory, behaviour theory or econometrics are new means used to found new kinds of reality representation. Therefore, if economics can no longer be considered as an exact science, it remains nevertheless scientific.

  13. Do executives' backgrounds matter to IPO investors? Evidence from the life science industry.

    PubMed

    Chok, Jay; Qian, Jifeng

    2013-01-01

    In this study, we focus on the impact of senior executives' industry backgrounds on the amount of capital raised in the stock market. The primary contribution of the study entails applying the upper echelon theory to the initial public offering (IPO) phenomenon. Specifically, we hypothesize that the industry backgrounds of corporate executives affect the amount of capital that the firm raised in the primary stock market. We argue that the firm's future investment strategies are unobserved by the investors ex-ante and investors expect firms' investment strategies to be based on the executives' industry backgrounds. As a result, the executives' industry backgrounds influence the investors' expectations about what investment strategies the firm is likely to deploy. Furthermore, the above logic also suggests that executives of different industry backgrounds should prefer different investment strategies corresponding with demand for different amount of capital. As a result, we expect the industry backgrounds to covary with the capital raised from both the supply and demand perspectives. To test the hypotheses, we ran a reduced econometric model wherein the executives' background predicts the amount of capital raised. Regression analyses suggest that the capital raised is negatively associated with the number of senior executives with prior career experience in the healthcare and genomic sectors but positively associated with the number of senior executives with prior career experience in regulatory affairs. The results provide tentative support for the notion that investors infer corporate strategies from senior executives' industry backgrounds. PMID:23690920

  14. How energy conversion drives economic growth far from the equilibrium of neoclassical economics

    NASA Astrophysics Data System (ADS)

    Kümmel, Reiner; Lindenberger, Dietmar

    2014-12-01

    Energy conversion in the machines and information processors of the capital stock drives the growth of modern economies. This is exemplified for Germany, Japan, and the USA during the second half of the 20th century: econometric analyses reveal that the output elasticity, i.e. the economic weight, of energy is much larger than energy's share in total factor cost, while for labor just the opposite is true. This is at variance with mainstream economic theory according to which an economy should operate in the neoclassical equilibrium, where output elasticities equal factor cost shares. The standard derivation of the neoclassical equilibrium from the maximization of profit or of time-integrated utility disregards technological constraints. We show that the inclusion of these constraints in our nonlinear-optimization calculus results in equilibrium conditions, where generalized shadow prices destroy the equality of output elasticities and cost shares. Consequently, at the prices of capital, labor, and energy we have known so far, industrial economies have evolved far from the neoclassical equilibrium. This is illustrated by the example of the German industrial sector evolving on the mountain of factor costs before and during the first and the second oil price explosion. It indicates the influence of the ‘virtually binding’ technological constraints on entrepreneurial decisions, and the existence of ‘soft constraints’ as well. Implications for employment and future economic growth are discussed.

  15. The evolution of risk perceptions related to bovine spongiform encephalopathy--Canadian consumer and producer behavior.

    PubMed

    Yang, Jun; Goddard, Ellen

    2011-01-01

    In this study the dynamics of risk perceptions related to bovine spongiform encephalopathy (BSE) held by Canadian consumers and cow-calf producers were evaluated. Since the first domestic case of BSE in 2003, Canadian consumers and cow-calf producers have needed to make decisions on whether or not their purchasing/production behavior should change. Such changes in their behavior may relate to their levels of risk perceptions about BSE, risk perceptions that may be evolving over time and be affected by BSE media information available. An econometric analysis of the behavior of consumers and cow-calf producers might identify the impacts of evolving BSE risk perceptions. Risk perceptions related to BSE are evaluated through observed market behavior, an approach that differs from traditional stated preference approaches to eliciting risk perceptions at a particular point in time. BSE risk perceptions may be specified following a Social Amplification of Risk Framework (SARF) derived from sociology, psychology, and economics. Based on the SARF, various quality and quantity indices related to BSE media information are used as explanatory variables in risk perception equations. Risk perceptions are approximated using a predictive difference approach as defined by Liu et al. (1998). Results showed that Canadian consumer and cow-calf producer risk perceptions related to BSE have been amplified or attenuated by both quantity and quality of BSE media information. Government policies on risk communications need to address the different roles of BSE information in Canadian consumers' and cow-calf producers' behavior.

  16. Impact of malaria morbidity on gross domestic product in Uganda

    PubMed Central

    2012-01-01

    Background The burden of malaria is a key challenge to both human and economic development in malaria endemic countries. The impact of malaria can be categorized from three dimensions, namely: health, social and economic. The objective of this study was to estimate the impact of malaria morbidity on gross domestic product (GDP) of Uganda. Methods The impact of malaria morbidity on GDP of Uganda was estimated using double-log econometric model. The 1997-2003 time series macro-data used in the analysis were for 28 quarters, i.e. 7 years times 4 quarters per year. It was obtained from national and international secondary sources. Results The slope coefficient for Malaria Index (M) was -0.00767; which indicates that when malaria morbidity increases by one unit, while holding all other explanatory variables constant, per capita GDP decreases by US$0.00767 per year. In 2003 Uganda lost US$ 49,825,003 of GDP due to malaria morbidity. Dividing the total loss of US$49.8 million by a population of 25,827,000 yields a loss in GDP of US$1.93 per person in Uganda in 2003. Conclusion Malaria morbidity results in a substantive loss in GDP of Uganda. The high burden of malaria leads to decreased long-term economic growth, and works against poverty eradication efforts and socioeconomic development of the country. PMID:22439685

  17. An empirical study on the driving mechanism of proactive corporate environmental management in China.

    PubMed

    Liu, Xianbing; Liu, Beibei; Shishime, Tomohiro; Yu, Qinqin; Bi, Jun; Fujitsuka, Tetsuro

    2010-08-01

    Environmentalism in China is under transformation from the traditional command and control model to emphasize the advantages of economic tools and encourage the participation of the public. Firms are much more aware of the importance of environmental issues, and some of them have practiced environmental activities beyond compliance. In order to help understand the driving mechanism of proactive corporate environmental behaviors from the firm's perspective, this paper identifies the drivers affecting the proactive environmental management level (EML(p)) based on the institutional theory, and gives an empirical study on the firms based in Changshu city of Jiangsu Province, China. The usable data, collected from the 117 valid respondents in a questionnaire survey, indicates that EML(p) is still moderately low currently. Less than 10% of the samples are practicing all the six categorized types of voluntary environmental activities. The econometric exercise confirms a significantly positive effect of the externally mimetic pressure on EML(p), which may attribute to a higher sensitivity of Chinese companies to the market factors. However, the roles of the general public and industrial associations are not significant, showing the marginal power of selected normative pressures. Regarding internal factors, firms, which view environmental issues as opportunities and often arrange internal environmental training, are more likely to adopt proactive environmental activities. More concerns from the general public like neighborhood communities and mass media shall be addressed to enhance the normative power to improve EML(p) in China from the future perspective.

  18. An interregional hedonic analysis of noxious facility impacts on local wages and property values

    SciTech Connect

    Clark, D.E.; Nieves, L.A.

    1991-01-01

    Claims of property value loss are commonly raised by homeowners when noxious facilities are sited or when new information about the hazards of existing facilities is made public. While the capitalization of externalities into land values is consistent with economic theory, empirical measurement of impacts has not generated consistent results. This is true both for hedonic measurements as well as other types of econometric analyses. While it is well established that job and site risks have similar impacts on regional labor markets, there are no studies relating the presence of a broad range of noxious facilities to local wage premiums. In contrast, this study employs an interregional framework in a hedonic analysis of both wage and property markets and considers eight different facility classifications. This paper discusses the development of the hedonic model employed in this study. It develops more fully the theoretical advantages of the intercity model and alternative methods of deriving implicit prices for environmental amenities and disamenities. The unique data base and the structure of the estimated model are described. It also includes a discussion of the research findings. Major conclusions and suggestions for further research are presented.

  19. An interregional hedonic analysis of noxious facility impacts on local wages and property values

    SciTech Connect

    Clark, D.E.; Nieves, L.A.

    1991-12-31

    Claims of property value loss are commonly raised by homeowners when noxious facilities are sited or when new information about the hazards of existing facilities is made public. While the capitalization of externalities into land values is consistent with economic theory, empirical measurement of impacts has not generated consistent results. This is true both for hedonic measurements as well as other types of econometric analyses. While it is well established that job and site risks have similar impacts on regional labor markets, there are no studies relating the presence of a broad range of noxious facilities to local wage premiums. In contrast, this study employs an interregional framework in a hedonic analysis of both wage and property markets and considers eight different facility classifications. This paper discusses the development of the hedonic model employed in this study. It develops more fully the theoretical advantages of the intercity model and alternative methods of deriving implicit prices for environmental amenities and disamenities. The unique data base and the structure of the estimated model are described. It also includes a discussion of the research findings. Major conclusions and suggestions for further research are presented.

  20. Caribou consumption in northern Canadian communities.

    PubMed

    Chiu, Angie; Goddard, Ellen; Parlee, Brenda

    2016-01-01

    Chronic wasting disease (CWD) is a transmissible spongiform encephalopathy (TSE) found in both farmed and wild deer, elk, and moose in the United States and Canada. Surveillance efforts in North America identified the geographical distribution of the disease and mechanisms underlying distribution, although the possibility of transmission to other cervids, including caribou, and noncervids, including humans, is not well understood. Because of the documented importance of caribou (Rangifer tarandus) to human populations in the northern regions of Canada, a risk-management strategy for CWD requires an understanding of the extent of potential dietary exposure to CWD. Secondary 24-h dietary recalls conducted among Inuvialuit and Inuit in 4 communities in the Northwest Territories and Nunavut were employed in this study. Econometric demand systems were estimated to model the impacts of individual- and community-level socioeconomic characteristics on expenditures on caribou and other foods, in order to examine the households' ability to consume other foods in response to changing levels of caribou consumption. Thirty-five percent of respondents reported consuming caribou in the survey period, and caribou comprised, on average, 26% of daily dietary intake by weight, or approximately 65 g/d, across individuals in the 4 communities. Consuming caribou was also shown to exert positive impacts on dietary quality, as measured by calorie intake and dietary diversity. Communities with less access to employment, income and food stores are predicted to be constrained in their ability to obtain an adequate diet in the event of scarcity of caribou meat. PMID:27556568

  1. Financial volatility trading using recurrent neural networks.

    PubMed

    Tino, P; Schittenkopf, C; Dorffner, G

    2001-01-01

    We simulate daily trading of straddles on financial indexes. The straddles are traded based on predictions of daily volatility differences in the indexes. The main predictive models studied are recurrent neural nets (RNN). Such applications have often been studied in isolation. However, due to the special character of daily financial time-series, it is difficult to make full use of RNN representational power. Recurrent networks either tend to overestimate noisy data, or behave like finite-memory sources with shallow memory; they hardly beat classical fixed-order Markov models. To overcome data nonstationarity, we use a special technique that combines sophisticated models fitted on a larger data set, with a fixed set of simple-minded symbolic predictors using only recent inputs. Finally, we compare our predictors with the GARCH family of econometric models designed to capture time-dependent volatility structure in financial returns. GARCH models have been used to trade volatility. Experimental results show that while GARCH models cannot generate any significantly positive profit, by careful use of recurrent networks or Markov models, the market makers can generate a statistically significant excess profit, but then there is no reason to prefer RNN over much more simple and straightforward Markov models. We argue that any report containing RNN results on financial tasks should be accompanied by results achieved by simple finite-memory sources combined with simple techniques to fight nonstationarity in the data.

  2. Obesity and fast food in urban markets: a new approach using geo-referenced micro data.

    PubMed

    Chen, Susan Elizabeth; Florax, Raymond J; Snyder, Samantha D

    2013-07-01

    This paper presents a new method of assessing the relationship between features of the built environment and obesity, particularly in urban areas. Our empirical application combines georeferenced data on the location of fast-food restaurants with data about personal health, behavioral, and neighborhood characteristics. We define a 'local food environment' for every individual utilizing buffers around a person's home address. Individual food landscapes are potentially endogenous because of spatial sorting of the population and food outlets, and the body mass index (BMI) values for individuals living close to each other are likely to be spatially correlated because of observed and unobserved individual and neighborhood effects. The potential biases associated with endogeneity and spatial correlation are handled using spatial econometric estimation techniques. Our application provides quantitative estimates of the effect of proximity to fast-food restaurants on obesity in an urban food market. We also present estimates of a policy simulation that focuses on reducing the density of fast-food restaurants in urban areas. In the simulations, we account for spatial heterogeneity in both the policy instruments and individual neighborhoods and find a small effect for the hypothesized relationships between individual BMI values and the density of fast-food restaurants.

  3. Using count data and ordered models in national forest recreation demand analysis.

    PubMed

    Simões, Paula; Barata, Eduardo; Cruz, Luis

    2013-11-01

    This research addresses the need to improve our knowledge on the demand for national forests for recreation and offers an in-depth data analysis supported by the complementary use of count data and ordered models. From a policy-making perspective, while count data models enable the estimation of monetary welfare measures, ordered models allow for the wider use of the database and provide a more flexible analysis of data. The main purpose of this article is to analyse the individual forest recreation demand and to derive a measure of its current use value. To allow a more complete analysis of the forest recreation demand structure the econometric approach supplements the use of count data models with ordered category models using data obtained by means of an on-site survey in the Bussaco National Forest (Portugal). Overall, both models reveal that travel cost and substitute prices are important explanatory variables, visits are a normal good and demographic variables seem to have no influence on demand. In particular, estimated price and income elasticities of demand are quite low. Accordingly, it is possible to argue that travel cost (price) in isolation may be expected to have a low impact on visitation levels. PMID:23846130

  4. An analysis of consumer demand for fruits in Sri Lanka. 1981-2010.

    PubMed

    Weerahewa, Jeevika; Rajapakse, Chamila; Pushpakumara, Gamini

    2013-01-01

    Micronutrient deficiency has become a serious health concern in many countries and Sri Lanka is no exception. Inclusion of vegetables and fruits, which are rich in micronutrients, in the diet is considered as one of the most cost effective measures to alleviate such deficiencies. The purpose of this paper is to analyze consumer demand for fruits in Sri Lanka. The specific objectives are to: (i) describe the patterns of fruit consumption across various households groups (ii) document the changes that have taken place in the local fruit supply for meeting the changes in demand, and (iii) to estimate price and income effects of changes in fruit consumption during 1981-2010. The study was conducted using secondary data which were extracted from government publications. The analysis shows that banana, papaw, mangoes and pineapple are the major fruits consumed and the consumption levels of such fruits have been rising over the years. The urban households and the households in high-income deciles are found to be allocating a relatively higher proportion of their food expenditure on fruits. The country is self sufficient in most of the fruits and only a small portion is traded. The results of econometric estimations reveal large income effects and relatively small price effects. A larger role for income based interventions as opposed to price based interventions to improve fruit consumption in Sri Lanka is evident from the results.

  5. Determinants of Healthcare Expenditure in Economic Cooperation Organization (ECO) Countries: Evidence from Panel Cointegration Tests

    PubMed Central

    Samadi, Alihussein; Homaie Rad, Enayatollah

    2013-01-01

    Background: Over the last decade there has been an increase in healthcare expenditures while at the same time the inequity in distribution of resources has grown. These two issues have urged the researchers to review the determinants of healthcare expenditures. In this study, we surveyed the determinants of health expenditures in Economic Cooperation Organization (ECO) countries. Methods: We used Panel data econometrics methods for the purpose of this research. For long term analysis, we used Pesaran cross sectional dependency test followed by panel unit root tests to show first whether the variables were stationary or not. Upon confirmation of no stationary variables, we used Westerlund panel cointegration test in order to show whether long term relationships exist between the variables. At the end, we estimated the model with Continuous-Updated Fully Modified (CUP-FM) estimator. For short term analysis also, we used Fixed Effects (FE) estimator to estimate the model. Results: A long term relationship was found between the health expenditures per capita and GDP per capita, the proportion of population below 15 and above 65 years old, number of physicians, and urbanisation. Besides, all the variables had short term relationships with health expenditures, except for the proportion of population above 65 years old. Conclusion: The coefficient of GDP was below 1 in the model. Therefore, health is counted as a necessary good in ECO countries and governments must pay due attention to the equal distribution of health services in all regions of the country. PMID:24596838

  6. Maternal employment and income affect dietary calorie adequacy in households in Sri Lanka.

    PubMed

    Rathnayake, Ishara M; Weerahewa, Jeevika

    2005-06-01

    Nutritional deficiencies among children and mothers in lower-income households in Sri Lanka continue to be a major obstacle to the country's social and economic development. This study investigates the factors affecting dietary caloric adequacy in Sri Lanka, paying special attention to maternal income. An econometric analysis was performed using a household data set collected from a sample of 183 low-income households in the urban, rural, and estate sectors. The results showed that on average, mothers and children in the sample did not consume adequate levels of calories according to the recommendations of the Medical Research Institute of Sri Lanka. The mother's income and educational status, the number of children and adults in the family, and the ages, sexes, and birth orders of the children significantly influenced household and individual caloric adequacy. Specifically, the mother's income had a significant positive effect on the total caloric intake (CI) and caloric adequacy ratio (CAR) of the household, mother, and children and a significant negative effect on the relative caloric allocation (RCA) of the children. The results imply that when maternal employment generates extra income, the CIs of all individuals increase, yet the allocation of calories to the children of the household is reduced. Thus, provision of employment opportunities for mothers, along with adequate child-care facilities and nutritional educational programs, is a possible strategy to improve caloric adequacy among low-income households in Sri Lanka.

  7. Joint translog model of energy aggregation and industrial demand for energy in US manufacturing

    SciTech Connect

    Taheri, A.A.

    1987-01-01

    This study builds on the work of Berndt and Christensen (1973b), Hudson and Jorgenson (1974), and Fuss (1977) by extending the (solo) price-aggregation model to incorporate the joint price/quantity aggregation of energy inputs, using the recently developed translog (Christensen et al., 1973) as (homothetic) aggregator models. The procedure represents the first step in a two-step optimization, which holds under the assumption of (homothetic) weak-separability, and generates aggregates that are internally consistent and first-step optimal. The two models are integrated via the theory of duality, and estimated indirectly by joint estimation of a complete system of derived fuel-share equations. One major advantage of this joint estimation is that, the complete system yields parameter estimates that are more efficient than those obtained by the (solo) price-aggregation model. It also leads to more-robust estimated models based on the same body of data. While the internally consistent energy aggregates have important applications in aggregate energy research, the aggregation model also provides an econometric model for empirical investigation of interfuel substitution responses in the US manufacturing.

  8. Farmers' contribution to landscape services in the Netherlands under different rural development scenarios.

    PubMed

    Pfeifer, Catherine; Sonneveld, Marthijn P W; Stoorvogel, Jetse J

    2012-11-30

    Landscape services represent the benefits human populations derive, directly or indirectly, from (agro-)ecosystem functions at the landscape scale. Many of these services are the result of farmers' decision making to allocate resources to other activities than food production and therefore are the result of farm the adoption of on-farm rural activities. With changing agricultural and rural policies, the future provision of landscape services to fulfill societal demands is not guaranteed. This study aims at mapping the spatial distribution of the adoption of on-farm rural activities under different explorative scenarios. For a Dutch landscape, storylines at the landscape scale were developed by combining global storylines, resulting from the Global Environmental Outlook, with local storylines resulting from key informant interviews. Subsequently these storylines were translated into quantitative scenarios that were implemented into a simulation procedure based on spatially explicit econometric models of farmer's decision making. Results show that further market liberalization leads to a decrease of landscape services in the study area. In our study, only increased cooperation between government, farmers and citizens appears to result in a general increase of all landscape services across the entire landscape.

  9. Assessing the benefits of OHER (Office of Health and Environmental Research) research: Three case studies

    SciTech Connect

    Nesse, R.J.; Callaway, J.M.; Englin, J.E.; Klan, M.S.; Nicholls, A.K.; Serot, D.E.

    1987-09-01

    This research was undertaken to estimate the societal benefits and costs of selected past research performed for the Office of Health and Environmental Research (OHER) of the US Department of Energy (DOE). Three case studies of representative OHER and DOE research were performed. One of these, the acid rain case study, includes research conducted elsewhere in DOE. The other two cases were the OHER marine research program and the development of high-purity germanium that is used in radiation detectors. The acid rain case study looked at the research benefits and costs of furnace sorbent injection and duct injection, technologies that might reduce acid deposition precursors. Both appear to show benefits in excess of costs. We examined in detail one of the OHER marine research program's accomplishments - the increase in environmental information used by the Outer Continental Shelf leasing program to manage bidding for off-shore oil drilling. The results of an econometric model show that environmental information of the type supported by OHER is unequivocally linked to government and industry leasing decisions. The germanium case study indicated that the benefits of germanium radiation detectors were significant.

  10. Now or later? Understanding the etiologic period of suicide

    PubMed Central

    Vandoros, Sotiris; Kavetsos, Georgios

    2015-01-01

    Previous research shows that the announcement of austerity measures leads to an immediate and short-lived increase in behaviour that demonstrates anxiety, stress, frustration and other mental effects. This paper uses evidence from the same natural experiment to study whether, for a given decision to commit suicide (as documented by the overall increase over the study period), suicides follow immediately after the announcement of austerity measures in Greece; or whether this is an effect that matures in peoples' minds before being transformed into action. We use evidence from a natural experiment and follow an econometric approach. Our findings show that, despite an overall sharp increase in suicides over the study period, the increase does not follow immediately in the first few days after each such negative event. This suggests that suicides are not spontaneous. They are rather decisions that take time to mature. This time lag implies that suicides arguably attributed to recessions are, in principle, preventable and underlines the importance of mental health services. PMID:26844154

  11. Assessments of Wind-Energy Potential in Selected Sites from Three Geopolitical Zones in Nigeria: Implications for Renewable/Sustainable Rural Electrification

    PubMed Central

    Okeniyi, Joshua Olusegun; Ohunakin, Olayinka Soledayo; Okeniyi, Elizabeth Toyin

    2015-01-01

    Electricity generation in rural communities is an acute problem militating against socioeconomic well-being of the populace in these communities in developing countries, including Nigeria. In this paper, assessments of wind-energy potential in selected sites from three major geopolitical zones of Nigeria were investigated. For this, daily wind-speed data from Katsina in northern, Warri in southwestern and Calabar in southeastern Nigeria were analysed using the Gumbel and the Weibull probability distributions for assessing wind-energy potential as a renewable/sustainable solution for the country's rural-electrification problems. Results showed that the wind-speed models identified Katsina with higher wind-speed class than both Warri and Calabar that were otherwise identified as low wind-speed sites. However, econometrics of electricity power simulation at different hub heights of low wind-speed turbine systems showed that the cost of electric-power generation in the three study sites was converging to affordable cost per kWh of electric energy from the wind resource at each site. These power simulations identified cost/kWh of electricity generation at Kaduna as €0.0507, at Warri as €0.0774, and at Calabar as €0.0819. These bare positive implications on renewable/sustainable rural electrification in the study sites even as requisite options for promoting utilization of this viable wind-resource energy in the remote communities in the environs of the study sites were suggested. PMID:25879063

  12. Causal effects of socioeconomic status on central adiposity risks: Evidence using panel data from urban Mexico.

    PubMed

    Levasseur, Pierre

    2015-07-01

    Associated with overweight, obesity and chronic diseases, the nutrition transition process reveals important socioeconomic issues in Mexico. Using panel data from the Mexican Family Life Survey, the purpose of the study is to estimate the causal effect of household socioeconomic status (SES) on nutritional outcomes among urban adults. We divide the analysis into two steps. First, using a mixed clustering procedure, we distinguish four socioeconomic classes based on income, educational and occupational dimensions: (i) a poor class; (ii) a lower-middle class; (iii) an upper-middle class; (iv) a rich class. Second, using an econometric framework adapted to our study (the Hausman-Taylor estimator), we measure the impact of belonging to these socioeconomic groups on individual anthropometric indicators, based on the body-mass index (BMI) and the waist-to-height ratio (WHtR). Our results make several contributions: (i) we show that a new middle class, rising out of poverty, is the most exposed to the risks of adiposity; (ii) as individuals from the upper class seem to be fatter than individuals from the upper-middle class, we can reject the assumption of an inverted U-shaped relationship between socioeconomic and anthropometric status as commonly suggested in emerging economies; (iii) the influence of SES on central adiposity appears to be particularly strong for men.

  13. Economic development and coastal ecosystem change in China.

    PubMed

    He, Qiang; Bertness, Mark D; Bruno, John F; Li, Bo; Chen, Guoqian; Coverdale, Tyler C; Altieri, Andrew H; Bai, Junhong; Sun, Tao; Pennings, Steven C; Liu, Jianguo; Ehrlich, Paul R; Cui, Baoshan

    2014-01-01

    Despite their value, coastal ecosystems are globally threatened by anthropogenic impacts, yet how these impacts are driven by economic development is not well understood. We compiled a multifaceted dataset to quantify coastal trends and examine the role of economic growth in China's coastal degradation since the 1950s. Although China's coastal population growth did not change following the 1978 economic reforms, its coastal economy increased by orders of magnitude. All 15 coastal human impacts examined increased over time, especially after the reforms. Econometric analysis revealed positive relationships between most impacts and GDP across temporal and spatial scales, often lacking dropping thresholds. These relationships generally held when influences of population growth were addressed by analyzing per capita impacts, and when population density was included as explanatory variables. Historical trends in physical and biotic indicators showed that China's coastal ecosystems changed little or slowly between the 1950s and 1978, but have degraded at accelerated rates since 1978. Thus economic growth has been the cause of accelerating human damage to China's coastal ecosystems. China's GDP per capita remains very low. Without strict conservation efforts, continuing economic growth will further degrade China's coastal ecosystems. PMID:25104138

  14. Modeling the coupled return-spread high frequency dynamics of large tick assets

    NASA Astrophysics Data System (ADS)

    Curato, Gianbiagio; Lillo, Fabrizio

    2015-01-01

    Large tick assets, i.e. assets where one tick movement is a significant fraction of the price and bid-ask spread is almost always equal to one tick, display a dynamics in which price changes and spread are strongly coupled. We present an approach based on the hidden Markov model, also known in econometrics as the Markov switching model, for the dynamics of price changes, where the latent Markov process is described by the transitions between spreads. We then use a finite Markov mixture of logit regressions on past squared price changes to describe temporal dependencies in the dynamics of price changes. The model can thus be seen as a double chain Markov model. We show that the model describes the shape of the price change distribution at different time scales, volatility clustering, and the anomalous decrease of kurtosis. We calibrate our models based on Nasdaq stocks and we show that this model reproduces remarkably well the statistical properties of real data.

  15. Quantifying variety-specific heat resistance and the potential for adaptation to climate change.

    PubMed

    Tack, Jesse; Barkley, Andrew; Rife, Trevor W; Poland, Jesse A; Nalley, Lawton Lanier

    2016-08-01

    The impact of climate change on crop yields has become widely measured; however, the linkages for winter wheat are less studied due to dramatic weather changes during the long growing season that are difficult to model. Recent research suggests significant reductions under warming. A potential adaptation strategy involves the development of heat resistant varieties by breeders, combined with alternative variety selection by producers. However, the impact of heat on specific wheat varieties remains relatively unstudied due to limited data and the complex genetic basis of heat tolerance. Here, we provide a novel econometric approach that combines field-trial data with a genetic cluster mapping to group wheat varieties and estimate a separate extreme heat impact (temperatures over 34 °C) across 24 clusters spanning 197 varieties. We find a wide range of heterogeneous heat resistance and a trade-off between average yield and resistance. Results suggest that recently released varieties are less heat resistant than older varieties, a pattern that also holds for on-farm varieties. Currently released - but not yet adopted - varieties do not offer improved resistance relative to varieties currently grown on farm. Our findings suggest that warming impacts could be significantly reduced through advances in wheat breeding and/or adoption decisions by producers. However, current adaptation-through-adoption potential is limited under a 1 °C warming scenario as increased heat resistance cannot be achieved without a reduction in average yields.

  16. An empirical investigation of the efficiency effects of integrated care models in Switzerland

    PubMed Central

    Reich, Oliver; Rapold, Roland; Flatscher-Thöni, Magdalena

    2012-01-01

    Introduction This study investigates the efficiency gains of integrated care models in Switzerland, since these models are regarded as cost containment options in national social health insurance. These plans generate much lower average health care expenditure than the basic insurance plan. The question is, however, to what extent these total savings are due to the effects of selection and efficiency. Methods The empirical analysis is based on data from 399,274 Swiss residents that constantly had compulsory health insurance with the Helsana Group, the largest health insurer in Switzerland, covering the years 2006–2009. In order to evaluate the efficiency of the different integrated care models, we apply an econometric approach with a mixed-effects model. Results Our estimations indicate that the efficiency effects of integrated care models on health care expenditure are significant. However, the different insurance plans vary, revealing the following efficiency gains per model: contracted capitated model 21.2%, contracted non-capitated model 15.5% and telemedicine model 3.7%. The remaining 8.5%, 5.6% and 22.5%, respectively, of the variation in total health care expenditure can be attributed to the effects of selection. Conclusions Integrated care models have the potential to improve care for patients with chronic diseases and concurrently have a positive impact on health care expenditure. We suggest policy-makers improve the incentives for patients with chronic diseases within the existing regulations providing further potential for cost-efficiency of medical care. PMID:22371691

  17. The labour market for nursing: a review of the labour supply literature.

    PubMed

    Antonazzo, Emanuela; Scott, Anthony; Skatun, Diane; Elliott, Robert F

    2003-06-01

    The need to ensure adequate numbers of motivated health professionals is at the forefront of the modernisation of the UK NHS. The aim of this paper is to assess current understanding of the labour supply behaviour of nurses, and to propose an agenda for further research. In particular, the paper reviews American and British economics literature that focuses on empirical econometric studies based on the classical static labour supply model. American research could be classified into first generation, second generation and recent empirical evidence. Advances in methods mirror those in the general labour economics literature, and include the use of limited dependent variable models and the treatment of sample selection issues. However, there is considerable variation in results, which depends on the methods used, particularly on the effect of wages. Only one study was found that used UK data, although other studies examined the determinants of turnover, quit rates and job satisfaction. The agenda for further empirical research includes the analysis of discontinuities in the labour supply function, the relative importance of pecuniary and non-pecuniary job characteristics, and the application of dynamic and family labour supply models to nursing research. Such research is crucial to the development of evidence-based policies.

  18. A model for Long-term Industrial Energy Forecasting (LIEF)

    SciTech Connect

    Ross, M. Michigan Univ., Ann Arbor, MI . Dept. of Physics Argonne National Lab., IL . Environmental Assessment and Information Sciences Div.); Hwang, R. )

    1992-02-01

    The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model's parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

  19. A model for Long-term Industrial Energy Forecasting (LIEF)

    SciTech Connect

    Ross, M. ||; Hwang, R.

    1992-02-01

    The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model`s parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

  20. Curbing adolescent smoking: a review of the effectiveness of various policies.

    PubMed Central

    Ding, Alexander

    2005-01-01

    Tobacco-related mortality is one of the biggest killers in American medicine. Evidence suggests that if adolescents can be kept tobacco-free, most will never start using tobacco. Therefore, tobacco control policies directed at the youth population could provide an effective method for sustaining long-term reductions in smoking in all segments of the population. Many forms of tobacco control policies have been implemented including restrictive laws, public campaigns, and taxation duties; there has been disagreement over which is most effective. We investigate the efficacy of various methods of tobacco control in youth and present a review of the published evidence.Econometric data for both youth access restrictions and environmental tobacco smoke restrictions afford ambiguous results. Results vary in a continuum from a moderate negative effect toward, ironically, a marginal positive effect on smoking. While information dissemination policies may be somewhat effective on the onset, they are limited in their effect and eventually diminish over time. We conclude that increases in price affect teen smoking to a great degree. Most estimates show that for a 10 percent increase in prices, which could be implemented by a tax per pack, a 15 percent decrease in cigarettes consumed could be accomplished. Taxation policies are an effective means of preventative medicine. PMID:16197728