How Did the German Health Care Reform of 1997 Change the Distribution of the Demand for Health Services?
I consider the problem of evaluating the effect of a health care reform on the demand for doctor visits when the effect is potentially different in different parts of the outcome distribution. Quantile regression is a useful technique for studying such heterogeneous treatment effects. Recent progree has been made to extend such methods to applications with a count dependent variable. An analysis of a 1997 health care reform in Germany shows the benefit of the approach: lower quantiles, such as the 25 percent quantile, fell by substantially larger amounts than what would have been predicted based on Poisson or negative binomial models.
|Date of creation:||Dec 2003|
|Publication status:||Published in Journal of Applied Econometrics 19, 2004, pages 455-472|
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- Jose A. F. Machado & J. M. C. Santos Silva, 2002.
"Quantiles for counts,"
CeMMAP working papers
CWP22/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Rainer Winkelmann, 2004.
"Co-payments for prescription drugs and the demand for doctor visits - Evidence from a natural experiment,"
John Wiley & Sons, Ltd., vol. 13(11), pages 1081-1089.
- Rainer Winkelmann, 2003. "Co-Payments for Prescription Drugs and the Demand for Doctor Visits - Evidence from a Natural Experiment," SOI - Working Papers 0307, Socioeconomic Institute - University of Zurich.
- Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
- Rainer Winkelmann, 2002. "Health Care Reform and the Number of Doctor Visits ï¿½ An Econometric Analysis," SOI - Working Papers 0210, Socioeconomic Institute - University of Zurich.
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