During the COVID-19 crisis, the use of short-time work in Germany reached unprecedented levels, as during the financial crisis of 2008/2009, proving its usefulness as key rescue measure for the labour market. Quickly after the start of the crisis, the German government had considerably eased the...

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...

This study re-estimates the employment effects of training programs for the unemployed using exogenous variation in participation caused by budget rules in Germany in the 1980s and early 1990s, resulting in the infamous "end-of-year spending". In addition to estimating complier effects with...

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...

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...

In 2003, Germany moved from a system in which participants in training programs for the unemployed are assigned by caseworkers to an allocation system using vouchers. Based on the rich administrative data for all vouchers and on actual program participation, we provide inverse probability...

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...