Biological processes have provided new insights into diverging labour market trajectories. This paper uses population variation in testosterone levels to explain transition probabilities into and out of unemployment. We examine labour market transitions for 2,004 initially employed and 111...

Biological processes have provided new insights into diverging labour market trajectories. In this paper, we use population variation in testosterone levels to explain transition probabilities into and out of unemployment. We follow individual employment histories for 1,771 initially employed...

Biological processes have provided new insights into diverging labour market trajectories. This paper uses population variation in testosterone levels to explain transition probabilities into and out of unemployment. We examine labour market transitions for 2,004 initially employed and 111...

This paper investigates the mechanisms behind the health effects of retirement. Using a Regression Discontinuity Design to exploit financial incentives in the German pension system for identification, I find that retirement improves subjective health status and mental health, while also reducing...

Retirement leads to changes in daily life that may affect health positively or negatively. Existing empirical evidence is inconclusive: While a few studies identify negative health effects, the majority of studies find no or positive effects of retirement on health. The mechanisms behind these...

Der Renteneintritt bringt einige Veränderungen im Alltag mit sich, die sowohl positive als auch negative Folgen für die persönliche Gesundheit haben können. Bisherige empirische Studien kommen zu keinem eindeutigen Ergebnis. Während einige Studien negative Gesundheitseffekte zu...

This paper estimates the causal effect of retirement on health, health behavior, and healthcare utilization. Using Regression Discontinuity Design to exploit financial incentives in the German pension system for identification, I investigate a wide range of health behaviors (e.g. alcohol and...

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...