Based on administrative data from the federal employment office in Germany, we apply matching techniques to estimate the stepping-stone function of temporary agency work for the unemployed, i.e. its short-run and long-run effects on their future employment prospects. Our results show 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...

Using a rich and unique combined administrative-survey dataset, this paper explores how sensitive propensity score (PS) matching estimates of Active Labor Market Policies (ALMPs) based on the selection-on-observables assumption are to typically unobserved covariates. Using a sample of German...

This note proposes the continuous treatment approach as a valuable alternative to propensity score matching for evaluating economic effects of merger and acquisitions (M&A). This framework allows to consider the variation in treatment intensities explicitly, and it does not call for the...

In a world increasingly globalized, multiple language skills can create more employment opportunities. Several countries include language training programs in active labor market programs for the unemployed. We analyze the effects of a language training program on the re-employment probability...

Using microdata from the second wave of the Household Finance and Consumption Survey, we investigate the accuracy of property values estimated by homeowners - so called “self-assessed” house prices - and explore the drivers of possible deviations of these prices from official hedonic house...

This note proposes the continuous treatment approach as a valuable alternative to propensity score matching for evaluating economic effects of merger and acquisitions (M&As). This framework allows to consider the variation in treatment intensities explicitly, and it does not call for the...