This paper makes use of Hierarchical Bayes Models to model and estimate spatial health effects. We focus on Germany, combining rich individual-level household panel data with administrative county level information to estimate spatial county-level health dependencies. As dependent variable, we...

Based on the Canadian National Population Health Survey we estimate the effects of individ-ual sports and exercise on individual labor market outcomes. The data covers the period from 1994 to 2008. It is longitudinal and rich in life-style, health, and physical activity in-formation. Exploiting...

This paper analyses the causal effects of educational mismatch on wages, individual health and job satisfaction. As educational mismatch is subject to unobserved heterogeneity in all of these fields, different identification strategies are applied to derive causal effects. In the wage...

A large and highly used number of treatment effects estimators rely on the unconfoundedness assumption ("selection on observables") which is fundamentally non testable. When evaluating the effects of labor market policies, researchers need to observe both variables that affect treatment...

The classical Heckman (1976, 1979) selection correction estimator (heckit) is misspecified and inconsistent if an interaction of the outcome variable and an explanatory variable matters for selection. To address this specification problem, a full information maximum likelihood estimator and a...

Using both household and linked-employer-employee data we study the effects of works councils on individual sickness absence rates and a subjective measure of personnel problems due to absenteeism in Germany. We find that the existence of a works council is positively correlated with the...