We develop a structural multi-factor labour demand model which distinguishes between eight labour categories including non-standard types of employment such as marginal employment. The model is estimated for both the number of workers and total working hours using a new panel data set. For...

Marginal employment', i.e. employment at low working hours and earnings not covered by social security, has been gaining importance in the German economy over the past decade. Using a large newly available panel data set and statistical matching techniques, we analyse the effects of marginal...

This paper studies the role of training vouchers and caseworkers in public training programs. Using a rich administrative data set, we apply matching and regression methods to measure the effect of the Hartz reform in Germany, which introduced training vouchers and imposed more selective...

This study analyzes the treatment effects of public training programs for the unemployed in Germany. Based on propensity score matching methods we extend the picture that has been sketched in previous studies by estimating treatment effects of medium-term programs for different sub-groups with...