This paper uses Hierarchical Bayes Models to model and estimate spatial health effects in Germany. We combine rich individual-level household panel data from the German SOEP with administrative county-level data to estimate spatial county-level health dependencies. As dependent variable we use...

This paper exploits rich SOEP microdata to analyze state-level variation in health care utilization in Germany. Unlike most studies in the field of the Small Area Variation (SAV) literature, our approach allows us to net out a large array of individual-level and state-level factors that may...

This paper investigates the effect of local crime on well-being in Germany, using data from the German Socio-Economic Panel (SOEP) and a novel data set constructed from official police crime statistics, covering both counties and urban districts for the time period between 1994 and 2012. We find...