This paper investigates gender differences in smoking behavior using data from the German Socio-economic Panel (SOEP). We develop a Blinder-Oaxaca decomposition method for count data models which allows to isolate the part of the gender differential in the number of cigarettes daily smoked that...

In this paper we consider ML estimation for a broad class of parameter-driven models for discrete dependent variables with spatial correlation. Under this class of models, which includes spatial discrete choice models, spatial Tobit models and spatial count data models, the dependent variable is...

Using standard as well as recently developed univariate and bivariate count data models, this paper analyzes the determinants of workplace accidents using a firm data set for Germany. Given the tight system of public workplace safety regulation, introduced partly as early as in 1869, and the...

In this paper we consider ML estimation for a broad class of parameter-driven models for discrete dependent variables with spatial correlation. Under this class of models, which includes spatial discrete choice models, spatial Tobit models and spatial count data models, the dependent variable is...

This paper investigates gender differences in smoking behavior using data from the German Socio-economic Panel (SOEP). We develop a Blinder-Oaxaca decomposition method for count data models which allows to isolate the part of the gender differential in the number of cigarettes daily smoked that...

Using standard as well as recently developed univariate and bivariate count data models, this paper analyzes the determinants of workplace accidents using a firm data set for Germany. Given the tight system of public workplace safety regulation, introduced partly as early as in 1869, and the...

This paper estimates the determinants of the number of work-related training courses, and their impact on expected wages growth, using longitudinal data from the British National Child Development Study. The analysis covers a crucial decade in the working lives of a cohort of young men – from...

This work aims to identify the determinants of health care utilization in Portugal and to quantify their effects. A clear idea about this may help the policy debate on the delivery and organization of health services. Toward this end, we developed an approach based on count data models. We found...

Using standard as well as recently developed univariate and bivariate count data models, this paper analyses the determinants of workplace accidents using a firm data set for Germany. Given the tight system of public workplace safety regulation, introduced partly as early as in 1869 and the...

This paper investigates gender differences in smoking behavior using data from the German Socio-economic Panel (SOEP). We develop a Blinder-Oaxaca decomposition method for count data models which allows to isolate the part of the gender differential in the number of cigarettes daily smoked that...