Panel data methods and applications to health economics
AbstractMuch of the empirical analysis done by health economists seeks to estimate the impact of specific health policies and the greatest challenge for successful applied work is to find appropriate sources of variation to identify the treatment effects of interest. Estimation can be prone to selection bias, when the assignment to treatments is associated with the potential outcomes of the treatment. Overcoming this bias requires variation in the assignment of treatments that is independent of the outcomes. One source of independent variation comes from randomised controlled experiments. But, in practice, most economic studies have to draw on non-experimental data. Many studies seek to use variation across time and events that takes the form of a quasi-experimental design, or “natural experiment”, that mimics the features of a genuine experiment. This chapter reviews the data and methods that are used in applied health economics with a particular emphasis on the use of panel data. The focus is on nonlinear models and methods that can accommodate unobserved heterogeneity. These include conditional estimators, maximum simulated likelihood, Bayesian MCMC, finite mixtures and copulas.
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Bibliographic InfoPaper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 07/18.
Date of creation: Aug 2007
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This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-11-17 (All new papers)
- NEP-ECM-2007-11-17 (Econometrics)
- NEP-HEA-2007-11-17 (Health Economics)
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- Schneider, Udo & Zerth, Jürgen, 2008. "Improving prevention compliance through appropriate incentives," MPRA Paper 8280, University Library of Munich, Germany.
- Pierre Koning & Dinand Webbink & N.G. Martin, 2010.
"The effect of education on smoking behaviour: New evidence from smoking durations of a sample of twins,"
CPB Discussion Paper
139, CPB Netherlands Bureau for Economic Policy Analysis.
- Koning, Pierre & Webbink, Dinand & Martin, Nicholas G., 2010. "The Effect of Education on Smoking Behavior: New Evidence from Smoking Durations of a Sample of Twins," IZA Discussion Papers 4796, Institute for the Study of Labor (IZA).
- Laudicella, M & Cookson, R & Jones, A.M & Rice, N, 2008.
"Health care deprivation profiles in the measurement of inequality and inequity: an application to GP fundholding in the English NHS,"
Health, Econometrics and Data Group (HEDG) Working Papers
08/06, HEDG, c/o Department of Economics, University of York.
- Laudicella, Mauro & Cookson, Richard & Jones, Andrew M. & Rice, Nigel, 2009. "Health care deprivation profiles in the measurement of inequality and inequity: An application to GP fundholding in the English NHS," Journal of Health Economics, Elsevier, vol. 28(6), pages 1048-1061, December.
- Mauro Laudicella & Richard Cookson & Andrew Jones & Nigel Rice, 2007. "Health care deprivation profiles in the measurement of inequality and inequity: an application to GP fundholding in the English NHS," Health, Econometrics and Data Group (HEDG) Working Papers 07/28, HEDG, c/o Department of Economics, University of York.
- Brit S. Schneider & Udo Schneider & Volker Ulrich, 2007. "Health and the Decision to Invest in Education," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 227(5+6), pages 725-745, December.
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