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Evaluation of Further Training Programmes with an Optimal Matching Algorithm

  • Eva Reinowski
  • Birgit Schultz
  • Jürgen Wiemers

This paper evaluates the effects of further training on the unemployment duration of different groups of persons representing individual characteristics and some aspects of the economic environment. The Micro Census Saxony enables us to include the employment history as a proxy for unobserved variables and to avoid Ashenfelters Dip. We employ an optimal full matching assignment, which is superior to greedy pair matching in the sense that it avoids the loss of observations due to the design of the algorithm. Overall, we find empirical evidence that participation in further training programmes results in even longer unemployment, with only gradual differences.

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Article provided by Swiss Society of Economics and Statistics (SSES) in its journal Swiss Journal of Economics and Statistics.

Volume (Year): 141 (2005)
Issue (Month): IV (December)
Pages: 585-616

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Handle: RePEc:ses:arsjes:2005-iv-4
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  1. Hujer, Reinhard & Caliendo, Marco, 2000. "Evaluation of Active Labour Market Policy: Methodological Concepts and Empirical Estimates," IZA Discussion Papers 236, Institute for the Study of Labor (IZA).
  2. Annette Bergemann & Bernd Fitzenberger & Stefan Speckesser, 2009. "Evaluating the dynamic employment effects of training programs in East Germany using conditional difference-in-differences," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 797-823.
  3. Lechner, Michael, 1996. "An Evaluation of Public Sector Sponsored Continuous Vocational Training Programs in East Germany," Discussion Papers 539, Institut fuer Volkswirtschaftslehre und Statistik, Abteilung fuer Volkswirtschaftslehre.
  4. Hujer, Reinhard & Wellner, Marc, 2000. "The Effects of Public Sector Sponsored Training on Individual Employment Performance in East Germany," IZA Discussion Papers 141, Institute for the Study of Labor (IZA).
  5. Florian Kraus & Patrick Puhani & Viktor Steiner, 1999. "Employment Effects of Publicly Financed Training Programs - The East German Experience," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 219(1+2), pages 216-248, July.
  6. Gerfin, Michael & Lechner, Michael, 2000. "Microeconometric Evaluation of the Active Labour Market Policy in Switzerland," IZA Discussion Papers 154, Institute for the Study of Labor (IZA).
  7. 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.
  8. Fitzenberger, Bernd & Prey, Hedwig, 2000. "Evaluating Public Sector Sponsored Training in East Germany," Oxford Economic Papers, Oxford University Press, vol. 52(3), pages 497-520, July.
  9. Björn Christensen, 2001. "Berufliche Weiterbildung und Arbeitsplatzrisiko: Ein Matching-Ansatz," Kiel Working Papers 1033, Kiel Institute for the World Economy.
  10. Martin Eichler & Michael Lechner, 2000. "Some Econometric Evidence on the Effectiveness of Active Labour Market Programmes in East Germany," William Davidson Institute Working Papers Series 318, William Davidson Institute at the University of Michigan.
  11. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
  12. James J. Heckman & Jeffrey A. Smith, 1999. "The Pre-Program Earnings Dip and the Determinants of Participation in a Social Program: Implications for Simple Program Evaluation Strategies," NBER Working Papers 6983, National Bureau of Economic Research, Inc.
  13. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
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