The Berlin Aging Study II (BASE-II) is a multidisciplinary study that allows for the investigation of how a multitude of health status factors as well as many other social and economic outcomes interplay. The sample consists of 1,600 participants aged 60 to 80, and 600 participants aged 20 to...

Background. Excessive loss of muscle mass in advanced age is a major risk factor forcdecreased physical ability and falls. Physical activity and exercise training are typically recommended to maintain muscle mass and prevent weakness. How exercise in different stages of life relates to muscle...

The Berlin Aging Study II (BASE-II) is a multidisciplinary study that allows for the investigation of how a multitude of health status factors as well as many other social and economic outcomes interplay. The sample consists of 1,600 participants aged 60 to 80, and 600 participants aged 20 to...

We study whether raising instructional time can crowd out student pro-social behaviour. To this end, we exploit a large educational reform in Germany that has raised weekly instructional time for high school students by 12.5% as a quasi-natural experiment. We find that this rise has a negative...

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 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 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 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...