This paper shows how truncated, censored, hurdle, zero inflated and underreported count models can be interpreted as models with selectivity. Until recently, users of such count data models have commonly imposed independence brtween the count generating mechanism and the selection mechanism....

Using data from the German Socio-Economic Panel for 1984-90, the author analyzes the entrance of young individuals into the German labor market, comparing the experience of apprenticeship graduates to that of graduates from universities, full-time vocational schools, and secondary schools....

This paper explores the relation between nonexponential waiting times between events and the distribution of the number of events in a fixed time interval. It is shown that within this framework the frequently observed phenomenon of overdispersion, i.e., a variance that exceeds the mean, is...

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...

In this paper, we use a unique database on expected monetary conditions from the Reserve Bank of New Zealand Survey of Expectations to study how policy signals are transmitted. In order to exploit the ordinal nature of the data, we run an ordered probit model where expected monetary conditions...

This article contributes to the ongoing debate on native wage impacts of immigration. I propose a mobile-fixed factor distinction as a framework in which to think about the differential impact of immigration on various labor market groups. Skilled workers are treated as a fixed factor of...

The recent economic literature on the incidence of various forms of post-secondary on-the-job and off-the-job training in Germany and the United States, as well as on the effects of training on wages, inequality, and labor mobility is surveyed. Young workers in Germany receive substantially more...