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...

This paper examines the short-run immigration effects on prices for owner-occupied housing and rents in Switzerland, exploiting regional variation at the level of 106 local labour markets ("Mobilité Spatiale" regions) and 26 cantons, respectively. We propose two empirical strategies that...

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...

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...

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...

This study evaluates and compares the effectiveness of two alternative training schemes for the unemployed: short, job-search oriented training and long, human capital oriented training. We investigate the impact dynamics of these programs considering both unemployment and employment duration....

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...

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 exploit a recent state-level reform in Germany that granted parents the right to decide on the highest secondary school track suitable for their child, changing the purpose of the primary teacher's recommendation from mandatory to informational. Applying a disaggre-gated synthetic control...