Based on new, exceptionally informative and large German linked employer-employee administrative data, we investigate the question whether the omission of important control variables in matching estimation leads to biased impact estimates of typical active labour market programs for the...

This paper investigates the link between variation in the supply of workers who participate in specific types of active labour market policies (ALMPs) and firm performance using a new exceptionally informative German employer-employee data base. For identification we exploit that German local...

This paper investigates how precisely short-term, job-search oriented training programs as opposed to long-term, human capital intensive training programs work. We evaluate and compare their effects on time until job entry, stability of employment, and earnings. Further, we examine the...

We estimate a dynamic discrete choice model of Registered Nurses’ labor supply with random terms. A distinguished feature of our model is that random terms are correlated over time and jobs (habit persistence). Past options and not only the past optimal choices matter for the current choices....

It is widely believed that globalization affects the extent of employment and wage responses to economic shocks. To provide evidence for this, we analyze the effect of firms' exporting behavior on the elasticity of labor demand. Using rich, German administrative linked employer-employee panel...

Randomized experiments provide policy relevant treatment effects if there are no spillovers between participants and nonparticipants. We show that this assumption is violated for a Danish activation program for unemployed workers. Using a difference-in-difference model we show that the...

This paper analyses how demographic changes of the labour force affect labour demand. Do firms adjust their hiring behaviour to an ageing society? Combining data at the firm level and the administrative district level, we analyse the hiring behaviour of firms. Our findings suggest that firms...