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...

Labor market programs may affect unemployed individuals' behavior before they enroll. Such ex ante effects may differ according to ethnic origin. We apply a novel method that relates self-reported perceived treatment rates and job search behavioral outcomes, such as the reservation wage or...

This paper evaluates a job search assistance program for unemployment insurance recipients. The assignment to the program is dynamic. We provide a discussion on dynamic treatment effects and identification conditions. In the empirical analyses we use administrative data from a unique...

The evaluation of labor market policies has become an important issue in many European countries. In recent years, many of them have opened their administrative databases for evaluation studies. The advantages of administrative data are straightforward: they are accurate, contain a large number...

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...

Germany has always been one of the prime examples of institutional complementarities between social insurance, a rather passive welfare state, strong employment protection and collective bargaining that stabilize diversified quality production. This institutional arrangement was criticized for...