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Quick Job Entry or Long-Term Human Capital Development? The Dynamic Effects of Alternative Training Schemes

  • Aderonke Osikominu

This paper investigates how precisely short-term, job-search oriented training programs as opposed to long-term, human capital intensive training programs work. We evaluate and compare their effects on time until job entry, stability of employment, and earnings. Further, we examine the heterogeneity of treatment effects according to the timing of training during unemployment as well as across different subgroups of participants. We find that participating in short-term training reduces the remaining time in unemployment and moderately increases job stability. Long-term training programs initially prolong the remaining time in unemployment, but once the scheduled program end is reached participants exit to employment at a much faster rate than without training. In addition, they benefit from substantially more stable employment spells and higher earnings. Overall, long-term training programs are well effective in supporting the occupational advancement of very heterogeneous groups of participants, including those with generally weak labor market prospects. However, from a fiscal perspective only the low-cost short-term training schemes are cost efficient in the short run.

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Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 3828.

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Date of creation: 2012
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Handle: RePEc:ces:ceswps:_3828
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  1. Bruno Crépon & Marc Ferracci & Grégory Jolivet & Gerard J. van den Berg, 2008. "“Active Labor Market Policy Effects in a Dynamic Setting”," Working Papers 2008-25, Centre de Recherche en Economie et Statistique.
  2. Card, David & Kluve, Jochen & Weber, Andrea, 2009. "Active Labor Market Policy Evaluations: A Meta-Analysis," IZA Discussion Papers 4002, Institute for the Study of Labor (IZA).
  3. Crépon, Bruno & Ferracci, Marc & Fougère, Denis, 2007. "Training the Unemployed in France: How Does It Affect Unemployment Duration and Recurrence?," IZA Discussion Papers 3215, Institute for the Study of Labor (IZA).
  4. Weber, Andrea & Hofer, Helmut, 2004. "Employment Effects of Early Interventions on Job Search Programs," IZA Discussion Papers 1076, Institute for the Study of Labor (IZA).
  5. Crépon, Bruno & Dejemeppe, Muriel & Gurgand, Marc, 2005. "Counseling the Unemployed: Does It Lower Unemployment Duration and Recurrence?," IZA Discussion Papers 1796, Institute for the Study of Labor (IZA).
  6. Fredriksson, Peter & Johansson, Per, 2008. "Dynamic Treatment Assignment," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 435-445.
  7. Michael Lechner & Ruth Miquel & Conny Wunsch, 2011. "Long‐Run Effects Of Public Sector Sponsored Training In West Germany," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 742-784, 08.
  8. 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, vol. 90(2), pages 299-321, June.
  9. Donald, Stephen G & Green, David A & Paarsch, Harry J, 2000. "Differences in Wage Distributions between Canada and the United States: An Application of a Flexible Estimator of Distribution Functions in the Presence of Covariates," Review of Economic Studies, Wiley Blackwell, vol. 67(4), pages 609-33, October.
  10. Fitzenberger, Bernd & Osikominu, Aderonke & Völter, Robert, 2006. "Get training or wait? : long-run employment effects of training programs for the unemployed in West Germany," IAB Discussion Paper 200617, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  11. Gritz, R. Mark, 1993. "The impact of training on the frequency and duration of employment," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 21-51.
  12. 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.
  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.
  14. Bart Hobijn & Aysegul Sahin & Michael Elsby, 2010. "The Labor Market in the Great Recession," 2010 Meeting Papers 323, Society for Economic Dynamics.
  15. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
  16. Rebecca M. Blank, 2002. "Evaluating Welfare Reform in the United States," NBER Working Papers 8983, National Bureau of Economic Research, Inc.
  17. Jaap H. Abbring & Gerard J. van den Berg, 2004. "Analyzing the effect of dynamically assigned treatments using duration models, binary treatment models, and panel data models," Empirical Economics, Springer, vol. 29(1), pages 5-20, January.
  18. Hujer, Reinhard & Thomsen, Stephan L. & Zeiss, Christopher, 2006. "The effects of short-term training measures on the individual unemployment duration in West Germany," ZEW Discussion Papers 06-65, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  19. repec:hal:wpaper:halshs-00590769 is not listed on IDEAS
  20. Brinch, Christian N., 2007. "Nonparametric Identification Of The Mixed Hazards Model With Time-Varying Covariates," Econometric Theory, Cambridge University Press, vol. 23(02), pages 349-354, April.
  21. Gaure, Simen & Røed, Knut & van den Berg, Gerard J. & Zhang, Tao, 2010. "Estimation of Heterogeneous Treatment Effects on Hazard Rates," IZA Discussion Papers 4794, Institute for the Study of Labor (IZA).
  22. Honore, Bo E, 1993. "Identification Results for Duration Models with Multiple Spells," Review of Economic Studies, Wiley Blackwell, vol. 60(1), pages 241-46, January.
  23. Couch, Kenneth A, 1992. "New Evidence on the Long-Term Effects of Employment Training Programs," Journal of Labor Economics, University of Chicago Press, vol. 10(4), pages 380-88, October.
  24. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
  25. Peter Jacobebbinghaus & Stefan Seth, 2007. "European Data Watch: The German Integrated Employment Biographies Sample IEBS," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(2), pages 335-342.
  26. de Luna, Xavier & Johansson, Per, 2009. "Non-Parametric Inference for the Effect of a Treatment on Survival Times with Application in the Health and Social Sciences," IZA Discussion Papers 3966, Institute for the Study of Labor (IZA).
  27. Gaure, Simen & Roed, Knut & Zhang, Tao, 2007. "Time and causality: A Monte Carlo assessment of the timing-of-events approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1159-1195, December.
  28. Bonnal, Liliane & Fougere, Denis & Serandon, Anne, 1997. "Evaluating the Impact of French Employment Policies on Individual Labour Market Histories," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 683-713, October.
  29. Bruno Crépon & Muriel Dejemeppe & Marc Gurgand, 2005. "Counseling the unemployed: does it lower unemployment duration and recurrence?," PSE Working Papers halshs-00590769, HAL.
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