New Evidence on the Effects of Job Creation Schemes in Germany - a Matching Approach with Threefold Heterogeneity

By Reinhard Hujer, Marco Caliendo, Stephan L. Thomsen. Social Science Research Network, 2004

174 citations recorded by the source corpus.

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.

Subfields: Economics and Econometrics, Gender Studies, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c578c5c75ea14e4f84f21890e62eaaa6e2a4a9a8

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Citations in the corpus

Non-farm work and food security among farm households in Northern Ghana (2011, methodology): “The propensity core can be predicted with either the logit or probit model (Hujer et al, 2004; Sianesi, 2004; Faltermeier and Abdulai, 2009).5 The predicted propensity scores can then be used to estimate treatment effects.”
The Employment Effects of Job Creation Schemes in Germany: A Microeconometric Evaluation (2008, unknown): “Taking into account previous empirical findings (Hujer et al., 2004), we also separate the analysis by gender.”
The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan (2010, background): “Given that sensitivity analysis for insignificant effects is not meaningful, Rosenbaum bounds were calculated only for treatment effects that are significantly different from zero (Hujer et al., 2004).”
The impact of cooperatives on agricultural technology adoption: Empirical evidence from Ethiopia (2013, methodology): “We run the sensitivity analysis for our estimate on fertilizer adoption since a sensitivity analysis for insignificant results is not meaningful (Hujer et al., 2004; Faltermeier and Abdulai, 2009).”