How Did the German Health Care Reform of 1997 Change the Distribution of the Demand for Health Services?
AbstractI 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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Bibliographic InfoPaper provided by Socioeconomic Institute - University of Zurich in its series SOI - Working Papers with number 0314.
Length: 20 pages
Date of creation: Dec 2003
Date of revision:
Publication status: Published in Journal of Applied Econometrics 19, 2004, pages 455-472
heterogeneous treatment effect; count data; quantile regression; Poisson model;
Find related papers by JEL classification:
- I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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