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Assessing the employment effects of vocational training using a one-factor model

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  • Thomas Andren
  • Daniela Andren

Abstract

Matching estimators use observed variables to adjust for differences between groups to eliminate sample selection bias. When minimum relevant information is not available, matching estimates are biased. If access to data on usually unobserved factors that determine the selection process is unavailable, other estimators should be used. This study advocates the one-factor control function estimator that allows for unobserved heterogeneity with factor-loading technique. Treatment effects of vocational training in Sweden are estimated with mean and distributional parameters, and then compared with matching estimates. The results indicate that unobservables slightly increase the treatment effect for those treated.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 38 (2006)
Issue (Month): 21 ()
Pages: 2469-2486

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Handle: RePEc:taf:applec:v:38:y:2006:i:21:p:2469-2486

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References

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  1. Heckman, James J & Smith, Jeffrey, 1997. "Making the Most Out of Programme Evaluations and Social Experiments: Accounting for Heterogeneity in Programme Impacts," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 487-535, October.
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  4. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
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  6. James J. Heckman & Justin L. Tobias & Edward Vytlacil, 2000. "Simple Estimators for Treatment Parameters in a Latent Variable Framework with an Application to Estimating the Returns to Schooling," NBER Working Papers 7950, National Bureau of Economic Research, Inc.
  7. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
  8. Barbara Sianesi, 2001. "Differential effects of Swedish active labour market programmes for unemployed adults during the 1990s," IFS Working Papers W01/25, Institute for Fiscal Studies.
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  14. Carneiro, Pedro & Hansen, Karsten T. & Heckman, James J., 2003. "Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice," IZA Discussion Papers 767, Institute for the Study of Labor (IZA).
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  16. Pedro Carneiro & Karsten T. Hansen & James J. Heckman, 2003. "Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College," NBER Working Papers 9546, National Bureau of Economic Research, Inc.
  17. Mroz, Thomas A., 1999. "Discrete factor approximations in simultaneous equation models: Estimating the impact of a dummy endogenous variable on a continuous outcome," Journal of Econometrics, Elsevier, vol. 92(2), pages 233-274, October.
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Cited by:
  1. Matteo PICCHIO & Jan C. van OURS, 2011. "Retaining through Training: Even for Older Workers," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 2011017, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
  2. Walter, Thomas & Butschek, Sebastian, 2013. "What Active Labour Market Programmes Work for Immigrants in Europe?," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79745, Verein für Socialpolitik / German Economic Association.
  3. Butschek, Sebastian & Walter, Thomas, 2013. "What active labour market programmes work for immigrants in Europe? A meta-analysis of the evaluation literature," ZEW Discussion Papers 13-056, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.

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