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How Did the German Health Care Reform of 1997 Change the Distribution of the Demand for Health Services?

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  • Rainer Winkelmann

    ()
    (Socioeconomic Institute, University of Zurich)

Abstract

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.

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File URL: http://www.soi.uzh.ch/research/wp/2003/wp0314.pdf
File Function: First version, 2003
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Bibliographic Info

Paper provided by Socioeconomic Institute - University of Zurich in its series SOI - Working Papers with number 0314.

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Length: 20 pages
Date of creation: Dec 2003
Date of revision:
Publication status: Published in Journal of Applied Econometrics 19, 2004, pages 455-472
Handle: RePEc:soz:wpaper:0314

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Keywords: heterogeneous treatment effect; count data; quantile regression; Poisson model;

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  1. Winkelmann, Rainer, 2001. "Health Care Reform and the Number of Doctor Visits - An Econometric Analysis," CEPR Discussion Papers 3021, C.E.P.R. Discussion Papers.
  2. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
  3. Rainer Winkelmann, 2004. "Co-payments for prescription drugs and the demand for doctor visits - Evidence from a natural experiment," Health Economics, John Wiley & Sons, Ltd., vol. 13(11), pages 1081-1089.
  4. J.A.F. Machado & J. M. C. Santos Silva, 2003. "Quantiles for Counts," Econometrics 0303001, EconWPA.
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