Bringing welfare recipients into jobs is a major goal of German labour market policy since a reform of the year 2005. Direct job creation providing participants with tem-porary subsidized jobs mainly in the non-profit sector plays an important role for achieving this goal. There are three...

Die Untersuchung bewertet für eine Stichprobe von Arbeitslosengeld II-Empfängern die Auswirkungen ihrer Beteiligung an kurzzeitigen Trainingsmaßnahmen in Deutschland. Die Autoren verwenden die Methode des Propensity Score Matching und amtliche Daten über Maßnahmeteilnehmer und für eine...

Social welfare systems usually imply specific obligations for benefit recipients. If a recipient does not comply with these obligations, a sanction involving a punitive benefits reduction may be imposed. In this paper we give an overview of the literature on the effects of sanctions in social...

Social welfare systems usually imply specific obligations for benefit recipients. If a recipient does not comply with these obligations, a sanction involving a punitive benefits reduction may be imposed. In this paper we give an overview of the literature on the effects of sanctions in social...

This review discusses empirical studies on hiring subsidies in the private sector and on schemes directly providing usually public or non-profit sector jobs for the unemployed in Germany. An important effect of hiring subsidies is that they stabilise employment. For employment schemes, results...

We investigate the effectiveness of three different job-search and training programmes for German long-term unemployed persons. On the basis of an extensive administrative data set, we evaluated the effects of those programmes on various levels of aggregation using Causal Machine Learning. We...

Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation of average treatment effects on the treated using a...

Matching-type estimators using the propensity score are the major workhorse in active labour market policy evaluation. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation of average treatment effects on the treated using a...