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The Effects of Public Sector Sponsored Training on Individual Employment Performance in East Germany

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  • Hujer, Reinhard

    ()
    (Goethe University Frankfurt)

  • Wellner, Marc

    (Goethe University Frankfurt)

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    Abstract

    This study analyses the effects of public sector sponsored vocational training on individual unemployment and employment duration in East Germany. The data is taken from the German Socio-Economic Panel (GSOEP). The empirical analysis is limited to training measures that took place between July 1990 and June 1993. To resolve the intriguing sample selection problem, i.e. to find an adequate control group for the group of trainees, we employ matching methods. The training effect is be estimated by using a discrete time hazard rate model. In the empirical analysis no evidence can be found to show that participation in public vocational training significantly decreases unemployment duration or increases employment duration.

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    Bibliographic Info

    Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 141.

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    Length: 55 pages
    Date of creation: Apr 2000
    Date of revision:
    Handle: RePEc:iza:izadps:dp141

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    Keywords: Discrete hazard models; selection bias; matching methods;

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    References

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    Citations

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    Cited by:
    1. Michael Lechner, 2002. "Mikroökonometrische Evaluation arbeitsmarktpolitischer Massnahmen," University of St. Gallen Department of Economics working paper series 2002 2002-20, Department of Economics, University of St. Gallen.
    2. Núria Rodríguez-Planas, 2007. "What Works Best For Getting the Unemployed Back to Work: Employment Services or Small-Business Assistance Programs? Evidence from Romania," UFAE and IAE Working Papers 712.07, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    3. Horst Feldmann, 2001. "Transformation in Ostdeutschland: Hat die Arbeitsmarktpolitik den Betroffenen geholfen?," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 2(3), pages 259-278, 08.
    4. Eva Reinowski & Birgit Schultz & Jürgen Wiemers, 2003. "Evaluation von Maßnahmen der aktiven Arbeitsmarktpolitik mit Hilfe eines iterativen Matching-Algorithmus - Eine Fallstudie über langzeitarbeitslose Maßnahmeteilnehmer in Sachsen," IWH Discussion Papers 173, Halle Institute for Economic Research.
    5. Eva Reinowski & Birgit Schultz & Jürgen Wiemers, 2004. "Evaluation of Further Training Programmes with an Optimal Matching Algorithm," IWH Discussion Papers 188, Halle Institute for Economic Research.
    6. Hujer, Reinhard & Caliendo, Marco & Zeiss, Christopher & Blien, Uwe, 2002. "Macroeconometric evaluation of active labour market policies in Germany - a dynamic panel approach using regional data," ERSA conference papers ersa02p225, European Regional Science Association.
    7. Máximo Torero & Erica Field, 2005. "Impact of Land Titles over Rural Households," OVE Working Papers 0705, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    8. McGuinness, Seamus & O'Connell, Philip J. & Kelly, Elish & Walsh, John R., 2011. "Activation in Ireland: An Evaluation of the National Employment Action Plan," Research Series, Economic and Social Research Institute (ESRI), number RS20, September.
    9. Eva Reinowski, 2004. "Mikroökonometrische Evaluation und das Selektionsproblem – Ein anwendungsorientierter Überblick über nichtparametrische Lösungsverfahren –," IWH Discussion Papers 200, Halle Institute for Economic Research.
    10. Núria Rodríguez-Planas & Jacob Benus, 2007. "Evaluating Active Labor Markets in Romania," UFAE and IAE Working Papers 699.07, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    11. Nuria Rodriguez-Planas† & Jacob Benus, 2007. "Evaluative Active Labor Market Programmes in Romania," Working Papers 2007-31, FEDEA.
    12. Horst Feldmann, 2002. "Labour Market Policies in Transition: Lessons from East Germany," Post-Communist Economies, Taylor & Francis Journals, vol. 14(1), pages 47-84.

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