Suchergebnisse

Recommended readings (Machine generated): 1. Richard Auster, Irving Leveson and Deborah Sarachek (1969), 'The Production of Health, an Exploratory Study', Journal of Human Resources, 4 (4), Autumn, 411-36 -- 2. Mark R. Rosenzweig and T. Paul Schultz (1983), 'Estimating a Household Production Function: Heterogenity, the Demand for Health Inputs, and Their Effects on Birth Weight', Journal of Political Economy, 91 (5), October, 723-46 -- 3. Gary S. Becker, Michael Grossman and Kevin M. Murphy (1994), 'An Empirical Analysis of Cigarette Addiction', American Economic Review, 84 (3), June, 396-418 -- 4. Donna B. Gilleskie (1998), 'A Dynamic Stochastic Model of Medical Care Use and Work Absence', Econometrica, 66 (1), January, 1-45 -- 5. Marcos Vera-Hernández (2003),'Structural Estimation of a Principal Agent Model: Moral Hazard in Medical Insurance', RAND Journal of Economics, 34 (4), Winter, 670-93 -- 6. Peter Arcidiacono, Holger Sieg and Frank Sloan (2007), 'Living Rationally Under the Volcano? An Empirical Analysis of Heavy Drinking and Smoking', International Economic Review, 48 (1), February, 37-65 -- 7. Naihua N. Duan, Willard G. Manning, Jr., Carl N. Morris and Joseph P. Newhouse (1983), 'A Comparison of Alternative Models for the Demand for Medical Care', Journal of Business and Economic Statistics, 1 (2), April, 115-26 -- 8. Williard G. Manning (1998),'The Logged Dependent Variable, Heteroscedasticity, and the Retransformation Problem', Journal of Health Economics, 17 (3), June, 283-95 -- 9. David K. Blough, Carolyn W. Madden, and Mark C. Hornbrook (1999), 'Modeling Risk Using Generalized Linear Models', Journal of Health Economics, 18 (2), April, 153-71 -- 10. Donna B. Gilleskie and Thomas A. Mroz (2004), 'A Flexible Approach for Estimating the Effects of Covariates on Health Expenditures', Journal of Health Economics, 23 (3), March, 391-418 -- 11. Anirban Basu and Paul J. Rathouz (2005),'Estimating Marginal and Incremental Effects on Health Outcomes Using Flexible Link and Variance Function Models', Biostatistics, 6 (1), January, 93-109 -- 12. Willard G. Manning, Anirban Basu and John Mullahy (2005), 'Generalized Modelling Approaches to Risk Adjustment of Skewed Outcomes Data' Journal of Health Economics, 24 (3), May, 465-88 -- 13. Andrew M. Jones, James Lomas and Nigel Rice (2015),' Healthcare Cost Regressions: Going Beyond the Mean to Estimate the Full Distribution', Health Economics, 24 (9), April, 1192-212 -- 14. John Mullahy (1986),'Specification and Testing of Some Modified Count Data Models', Journal of Econometrics, 33 (3), December, 341-65 -- 15. Bryan Dowd, Roger Feldman, Steven Cassou and Michael Finch (1991), 'Health Plan Choice and the Utilization of Health Care Services', Review of Economics and Statistics, 73 (1), February, 85-93 -- 16. Marcel Kerkhofs and Maarten Lindeboom (1995), 'Subjective Health Measures and State Dependent Reporting Errors', Health Economics, 4 (3), May-June, 221-35 -- 17. Winfried Pohlmeier and Volker Ulrich (1995), 'An Econometric Model of the Two-Part Decisonmaking Process in the Demand for Health Care', Journal of Human Resources, 30 (2), Spring, 339-61 -- 18. Partha Deb and Pravin K. Trivedi (1997),'Demand for Medical Care by the Elderly: A Finite Mixture Approach', Journal of Applied Econometrics, 12 (3), May/ June, 313-36 -- 19. David M. Zimmer and Pravin K. Trivedi (2006), 'Using Trivariate Copulas to Model Sample Selection and Treatment Effects: Application to Family Health Care Demand', Journal of Business and Economics Statistics, 24 (1), January, 63-76

1. Data and survey design -- 2. Describing the dynamics of health -- 3. Describing health care costs -- 4. Reporting heterogeneity in health -- 5. Health and lifestyles -- 6. Smoking and mortality -- 7. Health and retirement -- 8. Health and wages -- 9. Modelling the dynamics of health -- 10. Non-response and attrition bias -- 11. Models for count data -- 12. Modelling health care costs.

This comprehensive collection brings together more than 50 contributions from some of the most influential researchers in health economics. It authoritatively covers theoretical and empirical issues in health economics, with a balanced range of material on equity and efficiency in health care systems, health technology assessment and issues of concern for developing countries. This thoroughly revised second edition is expanded to include four new chapters, while all existing chapters have been extensively updated. The Elgar Companion to Health Economics, Second Edition intends to take an audience of advanced undergraduates, postgraduates and researchers to the current frontier of research by providing concise and readable introductions to key topics.

ABSTRACTThis note shows how the sample likelihood of the full double‐hurdle model with dependence can be reformulated to allow estimation with standard econometric software. An illustrative example is provided, using data on tobacco expenditure by households in the 1984 UK Family Expenditure Survey.

ABSTRACTThis paper adopts a systems approach to estimate budget share equations for four categories of alcoholic drinks and for tobacco, using quarterly expenditure data for the period 1964 to 1983. The emphasis is on the importance of the tolerance effects of addiction and on the smoker's participation decision in correctly specifying the model of demand. The model makes explicit recognition of a separate participation decision and the estimates suggest that there is something to be gained by introducing variables to indicate changes in the distribution of income and the demographic structure of the population.

Given extensive use of individual level data in Health Economics, it has become increasingly important to understand the microeconometric techniques available to applied researchers. The purpose of this book is to give readers convenient access to a collection of recent contributions that contain innovative applications of microeconometric methods to data on health and health care. Contributions are selected from papers presented at the European Workshops on Econometrics and Health Economics and published in Health Economics. Topics covered include: Latent Variables Unobservable heterogeneity and selection problems Count data and survival analysis Flexible and semiparametric estimators for limited dependent variables Classical and simulation methods for panel data Publication marks the tenth anniversary of the Workshop series. Doctoral students and researchers in health economics and microeconomics will find this book invaluable. Researchers in related fields such as labour economics and biostatistics will also find the content of use