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Job creation schemes (JCS) have been one important programme of active labour market policy in Germany aiming at the re-integration of hard-to-place unemployed individuals into regular employment. In ontrast to earlier evaluation studies of these programmes based on survey data, we use administrative data containing more than 11,000 participants for our analysis and hence, can take effect heterogeneity explicitly into account. We focus on effect heterogeneity caused by differences in the implementation of programmes (economic sector, types of support and implementing institutions). The results are rather discouraging and show that in general, JCS are unable to improve the re-integration chances of participants into regular employment.
This paper evaluates the effects of job creation schemes on the participating individuals in Germany. Since previous empirical studies of these measures have been based on relatively small datasets and focussed on East Germany, this is the first study which allows to draw policy-relevant conclusions. The very informative and exhaustive dataset at hand not only justifies the application of a matching estimator but also allows to take account of threefold heterogeneity. The recently developed multiple treatment framework is used to evaluate the effects with respect to regional, individual and programme heterogeneity. The results show considerable differences with respect to these sources of heterogeneity, but the overall finding is very clear. At the end of our observation period, that is two years after the start of the programmes, participants in job creation schemes have a significantly lower success probability on the labour market in comparison to matched non-participants.
This paper evaluates the effects of job creation schemes on the participating individuals in Germany. Since previous empirical studies of these measures have been based on relatively small datasets and focussed on East Germany, this is the first study which allows to draw policy-relevant conclusions. The very informative and exhaustive dataset at hand not only justifies the application of a matching estimator but also allows to take account of threefold heterogeneity. The recently developed multiple treatment framework is used to evaluate the effects with respect to regional, individual and programme heterogeneity. The results show considerable differences with respect to these sources of heterogeneity, but the overall finding is very clear. At the end of our observation period, that is two years after the start of the programmes, participants in job creation schemes have a significantly lower success probability on the labour market in comparison to matched non-participants. JEL Classification: H43, J64, J68, C13, C40