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

Author

Listed:
  • Hujer, Reinhard

    () (Goethe University Frankfurt)

  • Caliendo, Marco

    () (University of Potsdam)

  • Thomsen, Stephan L.

    () (Leibniz University of Hannover)

Abstract

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.

Suggested Citation

  • Hujer, Reinhard & Caliendo, Marco & Thomsen, Stephan L., 2003. "New Evidence on the Effects of Job Creation Schemes in Germany - A Matching Approach with Threefold Heterogeneity," IZA Discussion Papers 750, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp750
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    References listed on IDEAS

    as
    1. Aakvik, Arild, 2001. "Bounding a Matching Estimator: The Case of a Norwegian Training Program," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(1), pages 115-143, February.
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    3. van Ours, Jan C., 2004. "The locking-in effect of subsidized jobs," Journal of Comparative Economics, Elsevier, vol. 32(1), pages 37-55, March.
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    5. DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, WZB Berlin Social Science Center.
    6. Michael Lechner, 2002. "Some practical issues in the evaluation of heterogeneous labour market programmes by matching methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 59-82, February.
    7. Arild Aakvik, 2001. "Bounding a Matching Estimator: The Case of a Norwegian Training Program," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(1), pages 115-143, February.
    8. Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
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    More about this item

    Keywords

    heterogeneity; multiple treatment; job creation schemes; matching; evaluation;
    All these keywords.

    JEL classification:

    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

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