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Employment and earnings effects of awarding training vouchers in Germany

Author

Listed:
  • Doerr, Annabelle
  • Fitzenberger, Bernd
  • Kruppe, Thomas
  • Paul, Marie
  • Strittmatter, Anthony

Abstract

In 2003, Germany moved from a system in which participants in training programs for the unemployed are assigned by caseworkers to an allocation system using vouchers. Based on the rich administrative data for all vouchers and on actual program participation, we provide inverse probability weighting and ordinary least squares estimates of the employment and earnings effects of a voucher award. Our results imply that after the award, voucher recipients experience long periods of lower labor market success. On average, there are only small positive employment effects and no gains in earnings even four years after the voucher award. However, we do find significantly positive effects both for low-skilled individuals and for degree courses. The strong positive selection effects implied by our estimates are consistent with sizeable cream-skimming effects.

Suggested Citation

  • Doerr, Annabelle & Fitzenberger, Bernd & Kruppe, Thomas & Paul, Marie & Strittmatter, Anthony, 2014. "Employment and earnings effects of awarding training vouchers in Germany," ZEW Discussion Papers 14-065, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:14065
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    References listed on IDEAS

    as
    1. Barnow, Burt S., 2009. "Vouchers in U.S. vocational training programs : an overview of what we have learned," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 42(1), pages 71-84.
    2. Lechner, Michael & Scioch, Patrycja & Wunsch, Conny, 2013. "Do Firms Benefit from Active Labour Market Policies?," Working papers 2013/11, Faculty of Business and Economics - University of Basel.
    3. David Card & Jochen Kluve & Andrea Weber, 2010. "Active Labour Market Policy Evaluations: A Meta-Analysis," Economic Journal, Royal Economic Society, vol. 120(548), pages 452-477, November.
    4. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    5. Frölich, Markus & Lechner, Michael, 2010. "Exploiting Regional Treatment Intensity for the Evaluation of Labor Market Policies," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1014-1029.
    6. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
    7. Martin Biewen & Bernd Fitzenberger & Aderonke Osikominu & Marie Paul, 2014. "The Effectiveness of Public-Sponsored Training Revisited: The Importance of Data and Methodological Choices," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 837-897.
    8. Bernd Fitzenberger & Aderonke Osikominu & Robert Völter, 2008. "Get Training or Wait? Long-Run Employment Effects of Training Programs for the Unemployed in West Germany," Annals of Economics and Statistics, GENES, issue 91-92, pages 321-355.
    9. Carolyn Heinrich & Peter Mueser & Kenneth Troske & Kyung-Seong Jeon & Daver Kahvecioglu, 2013. "Do Public Employment and Training Programs Work?," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-23, December.
    10. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    11. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    12. Ulf Rinne & Marc Schneider & Arne Uhlendorff, 2011. "Do the skilled and prime-aged unemployed benefit more from training? Effect heterogeneity of public training programmes in Germany," Applied Economics, Taylor & Francis Journals, vol. 43(25), pages 3465-3494.
    13. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    14. Busso, Matias & DiNardo, John & McCrary, Justin, 2009. "New Evidence on the Finite Sample Properties of Propensity Score Matching and Reweighting Estimators," IZA Discussion Papers 3998, Institute of Labor Economics (IZA).
    15. Reinhard Hujer & Stephan Thomsen & Christopher Zeiss, 2006. "The effects of vocational training programmes on the duration of unemployment in Eastern Germany," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(2), pages 299-321, June.
    16. Lechner Michael & Miquel Ruth & Wunsch Conny, 2007. "The Curse and Blessing of Training the Unemployed in a Changing Economy: The Case of East Germany After Unification," German Economic Review, De Gruyter, vol. 8(4), pages 468-509, December.
    17. Schneider, Hilmar & Brenke, Karl & Jesske, Birgit & Kaiser, Lutz C. & Rinne, Ulf & Schneider, Marc & Steinwede, Jacob & Uhlendorff, Arne, 2007. "Evaluation der Maßnahmen zur Umsetzung der Vorschläge der Hartz-Kommission - Bericht 2006," IZA Research Reports 10, Institute of Labor Economics (IZA).
    18. Michael Lechner & Anthony Strittmatter, 2019. "Practical procedures to deal with common support problems in matching estimation," Econometric Reviews, Taylor & Francis Journals, vol. 38(2), pages 193-207, February.
    19. Fredriksson, Peter & Johansson, Per, 2008. "Dynamic Treatment Assignment," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 435-445.
    20. Barbara Sianesi, 2004. "An Evaluation of the Swedish System of Active Labor Market Programs in the 1990s," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 133-155, February.
    21. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    22. Fitzenberger, Bernd & Volter, Robert, 2007. "Long-run effects of training programs for the unemployed in East Germany," Labour Economics, Elsevier, vol. 14(4), pages 730-755, August.
    23. Markussen, Simen & Røed, Knut, 2014. "The impacts of vocational rehabilitation," Labour Economics, Elsevier, vol. 31(C), pages 1-13.
    24. repec:mpr:mprres:7217 is not listed on IDEAS
    25. Barnow, Burt S., 2009. "Vouchers in U.S. vocational training programs : an overview of what we have learned," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 42(1), pages 71-84.
    26. Ulf Rinne & Arne Uhlendorff & Zhong Zhao, 2013. "Vouchers and caseworkers in training programs for the unemployed," Empirical Economics, Springer, vol. 45(3), pages 1089-1127, December.
    27. Helen F. Ladd, 2002. "School Vouchers: A Critical View," Journal of Economic Perspectives, American Economic Association, vol. 16(4), pages 3-24, Fall.
    28. Michael Lechner & Ruth Miquel & Conny Wunsch, 2007. "The Curse and Blessing of Training the Unemployed in a Changing Economy: The Case of East Germany After Unification," German Economic Review, Verein für Socialpolitik, vol. 8(4), pages 468-509, November.
    29. repec:adr:anecst:y:2008:i:91-92:p:15 is not listed on IDEAS
    30. Irma Perez-Johnson & Quinn Moore & Robert Santillano, "undated". "Improving the Effectiveness of Individual Training Accounts: Long-Term Findings from an Experimental Evaluation of Three Service Delivery Models," Mathematica Policy Research Reports ddb772ea2aa242a1a74579eb0, Mathematica Policy Research.
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    More about this item

    Keywords

    Active Labor Market Policies; Training Vouchers; Treatment Effects Evaluation; Administrative Data;
    All these keywords.

    JEL classification:

    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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