Showing 1 - 10 of 15
sectors. A companion analysis of data from the German Socio-Economic Panel shows that selection on unobservables is reduced …
Persistent link: https://www.econbiz.de/10011600691
application to public and private sector job satisfaction, and using data on male workers from the German Socio-Economic Panel, we …
Persistent link: https://www.econbiz.de/10011600780
application to public and private sector job satisfaction, and using data on male workers from the German Socio-Economic Panel, we …
Persistent link: https://www.econbiz.de/10005017482
individual panel data for Germany and repeated cross-sectional data for the United States and the European Union show that the …
Persistent link: https://www.econbiz.de/10011600752
individual panel data for Germany and repeated cross-sectional data for the United States and the European Union show that the …
Persistent link: https://www.econbiz.de/10005017424
A Dynamic Hurdle Model for Zero-Inflated Count Data: With an Application to Health Care UtilizationExcess zeros are encountered in many empirical count data applications. We provide a new explanation of extra zeros, related to the underlying stochastic process that generates events. The process...
Persistent link: https://www.econbiz.de/10010352035
standard hurdle count models. Data are from the German Socio-Economic Panel. Results show no statistically significant …
Persistent link: https://www.econbiz.de/10010421053
impairments, using data from the German Socio-Economic Panel. We compare our new approach to modeling ratings with ordinary least …
Persistent link: https://www.econbiz.de/10011499560
Rating variables indicate the extent to which a quality is present, or absent, in a unit of observation. In this paper, we discuss a class of non-linear regression models for rating dependent variables and their estimation by parametric and semiparametric methods. An application to life...
Persistent link: https://www.econbiz.de/10011601014
A Dynamic Hurdle Model for Zero-Inflated Count Data: With an Application to Health Care UtilizationExcess zeros are encountered in many empirical count data applications. We provide a new explanation of extra zeros, related to the underlying stochastic process that generates events. The process...
Persistent link: https://www.econbiz.de/10010896251