We use a new and exceptionally rich administrative data set for Germany to evaluate theemployment effects of a variety of public sponsored training programs in the early 2000s.Building on the work of Sianesi (2003, 2004), we employ propensity score matching methodsin a dynamic, multiple...

Short-term training has recently become the largest active labor market program in Germany regarding the number of participants. Little is known on the effectiveness of different types of short-term training and on their long-run effects. This paper estimates the effects of short-term training...

We use a new and exceptionally rich administrative data set for Germany to evaluate the employment effects of a variety of public sponsored training programs in the early 2000s. Building on the work of Sianesi (2003, 2004), we employ propensity score matching methods in a dynamic, multiple...

Long-term public sector sponsored training programs often show little or negative short-run employment effects and often it is not possible to assess whether positive long-run effects exist. Based on unique administrative data, this paper estimates the long-run differential employment effects of...

This paper estimates the impact of training incidence and duration on employment transitions accounting for the endogeneity of program participation and duration. We specify a very flexible bivariate random effects probit model for employment and training participation and we use Bayesian Markov...

Distinguishing carefully between mobility across firms and across occupations, this study provides causal estimates of the wage effects of mobility among graduates from apprenticeship in Germany. Our instrumental variables approach exploits variation in regional labor market characteristics....

We estimate gender differences in elicited wage expectations among German University students applying for STEM and non-STEM fields. Descriptively, women expect to earn less than men and also have lower expectations about wages of average graduates across different fields. Using a two-step...

We analyze the impact of (over-)confidence on gender differences in expected starting salaries using elicited beliefs of prospective university students in Germany. According to our results, female students have lower wage expectations and are less overconfident than their male counterparts....

In absence of randomized controlled experiments, identification is often aimed via instrumental variable (IV) strategies, typically two-stage least squares estimations. According to Bayes' rule, however, under a low ex ante probability that a hypothesis is true (e.g. that an excluded instrument...

This paper examines the role of the sociocultural background of students for choosing STEM fields in university. We combine rich survey data on university graduates in Switzerland with municipality level information from the census as well as nationwide elections and referenda to characterize a...