-
In:
Jahrbücher für Nationalökonomie und Statistik
221 (2001), 4, 418-431
| Rainer Winkelmann
-
Berlin:
Springer,
2003,
| Rainer Winkelmann
-
Zurich:
University of Zurich,
2003,
(Socioeconomic Institute Working Paper No. 0314)
| Rainer Winkelmann
-
Zurich:
University of Zurich,
2003,
(Socioeconomic Institute Working Paper No. 0311)
| Rainer Winkelmann
-
The German health care reform of 1997 provides a natural experiment for evaluating the price sensitivity of demand for physicians' services. As a part of the reform, co-payments for prescription drugs were increased step up to 200%. However, certain groups of people were exempted from the increase, providing a natural control group against which the changed demand for physicians' services ...
In:
Health Economics
13 (2004), 11, 1081-1089
| Rainer Winkelmann
-
This paper evaluates the German health care reform of 1997, using the individual number of doctor visits as outcome measure and data from the German Socio-Economic Panel for the years 1995–1999. A number of modified count data models allow us to estimate the effect of the reform in different parts of the distribution. The overall effect of the reform was a 10% reduction in the number of doctor visits. ...
In:
Journal of Applied Econometrics
19 (2004), 4, 455-472
| Rainer Winkelmann
-
The previous literature on the determinants of individual well-being has failed to fully account for the interdependencies in well-being at the family level. This paper develops an ordered probit model with multiple random effects that allows to identify the intra-family correlation in well-being. The parameters of the model can be estimated with panel data using Maximum Marginal Likelihood. The approach ...
In:
Empirical Economics
30 (2005), 3, 749-761
| Rainer Winkelmann
-
In:
The Journal of Socio-Economics
(2006), 35, 197-208
| Rainer Winkelmann
-
In:
Journal of Health Economics
25 (2006), 1, 131-145
| Rainer Winkelmann
-
The book provides graduate students and researchers with an up-to-date survey of statistical and econometric techniques for the analysis of count data, with a focus on conditional distribution models. Proper count data probability models allow for rich inferences, both with respect to the stochastic count process that generated the data, and with respect to predicting the distribution of outcomes. ...
Berlin:
Springer,
2008,
| Rainer Winkelmann