This paper provides first evidence on the social returns to education from both firm-level and regional human capital. Using panel data from German social security, both at an individual and aggregated at the plant and regional level, I estimate earnings functions incorporating measures of...

The aim of this paper is to introduce a new model selection mechanism for cross sectional spatial models. This method is more flexible than the approach proposed by Florax et al. (2003) since it controls for spatial dependence as well as for spatial heterogeneity. In particular, Bayesian and...

Background: In panel datasets information on environmental exposures is scarce. Thus, our goal was to probe the use of area-wide geographically referenced data for air pollution from an external data source in the analysis of physical health. Methods: The study population comprised SOEP...

This paper analyzes determinants for regional differences in German unemployment rates. We specify a spatial panel model to avoid biased and inefficient estimates due to spatial dependence. Additionally, we control for temporal dynamics in the data. Our study covers the whole of Germany as well...