The determinants which are decisive for a successful accumulation of human capital and the transfer of these skills into the labor market are a contentious issue in the literature on the economics of education. Different studies on, for instance, the impact of school resources typically reach...

Based on the ideas developed in the literature on the evaluation of active labor market policy, this paper provides a framework for the evaluation of key elements of immigration policy. To this end, the fundamental ingredients of evaluating policy interventions are explained and the specific...

Causal inference in the empirical sciences is based on counterfactuals. This paper presents the counterfactual account of causation in terms of Lewis's possible-world semantics, and reformulates the statistical potential outcome framework and its underlying assumptions using counterfactual...

Causal inference in the empirical sciences is based on counterfactuals. This paper presents the counterfactual account of causation in terms of Lewis's possible-world semantics, and reformulates the statistical potential outcome framework and its underlying assumptions using counterfactual...

This paper investigates how to test for nonresponse selection bias in wage functions induced by missing income information. We suggest an "easy-to-implement" approach which requires information on interviewer IDs and the interview date rather than hard to get interviewer characteristics.

This paper provides a preliminary assessment of recent reforms of German employment promotion policy. While several recent studies analyze the impact of measures of employment promotion for the case of Germany, no comparable study exists on the aggregate level, thus precluding any assessment of...

This paper investigates the method of matching regarding two crucial implementation choices, the distance measure and the type of algorithm. We implement optimal full matching - a fully efficient algorithm - and present a framework for statistical inference. The implementation uses data from the...

This paper investigates the method of matching regarding two crucial implementation choices, the distance measure and the type of algorithm. We implement optimal full matching a fully efficient algorithm and present a framework for statistical inference. The implementation uses data from the...