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Analysis of job-training effects on Korean women

Author

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  • Sang-jun Lee

    (Korea Research Institute for Vocational Education and Training, Seoul, South Korea)

  • Myoung-jae Lee

    (School of Economics and Social Sciences, Singapore Management University, Singapore)

Abstract

We analyse job-training effects on Korean women for the period January 1999 to March 2000, using a large data set of size about 52,000. We employ a number of estimation techniques: Weibull MLE and accelerated failure time approach, which are both parametric; Cox partial likelihood estimator, which is semiparametric; and two pair-matching estimators, which are in essence nonparametric. All of these methods gave the common conclusion that job training for Korean women increased their unemployment duration. The trainings were not cost-effective in the sense that they took too much time 'locking in' the trainees during the training span, compared with the time they took to place the trainees afterwards. Despite this negative finding, some sub-groups had positive effects: white-collar workers trained for finance|insurance or information|communication. Copyright © 2005 John Wiley & Sons, Ltd.

Suggested Citation

  • Sang-jun Lee & Myoung-jae Lee, 2005. "Analysis of job-training effects on Korean women," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 549-562.
  • Handle: RePEc:jae:japmet:v:20:y:2005:i:4:p:549-562
    DOI: 10.1002/jae.771
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    File URL: http://qed.econ.queensu.ca:80/jae/2005-v20.4/
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    References listed on IDEAS

    as
    1. 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.
    2. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    3. Knut Roed & Tao Zhang, 2003. "Does Unemployment Compensation Affect Unemployment Duration?," Economic Journal, Royal Economic Society, vol. 113(484), pages 190-206, January.
    4. Myoung‐Jae Lee & Satoru Kobayashi, 2001. "Proportional treatment effects for count response panel data: effects of binary exercise on health care demand," Health Economics, John Wiley & Sons, Ltd., vol. 10(5), pages 411-428, July.
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    Citations

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    Cited by:

    1. Eyal, Yonatan & Beenstock, Michael, 2008. "Sign reversal in LIVE treatment effect estimates: The effect of vocational training on unemployment duration," Labour Economics, Elsevier, vol. 15(5), pages 1102-1125, October.
    2. Chung Choe & Alfonso Flores-Lagunes & Sang-Jun Lee, 2015. "Do dropouts with longer training exposure benefit from training programs? Korean evidence employing methods for continuous treatments," Empirical Economics, Springer, vol. 48(2), pages 849-881, March.
    3. Bernhard Schmidpeter, 2015. "The Fatal Consequences of Grief," CDL Aging, Health, Labor working papers 2015-07, The Christian Doppler (CD) Laboratory Aging, Health, and the Labor Market, Johannes Kepler University Linz, Austria.
    4. Pedro H. C. Sant'Anna, 2016. "Program Evaluation with Right-Censored Data," Papers 1604.02642, arXiv.org.
    5. Pedro H. C. Sant'Anna, 2016. "Nonparametric Tests for Treatment Effect Heterogeneity with Duration Outcomes," Papers 1612.02090, arXiv.org, revised Feb 2020.
    6. Bernhard Schmidpeter, 2015. "The Fatal Consequences of Grief," Economics working papers 2015-06, Department of Economics, Johannes Kepler University Linz, Austria.
    7. repec:jku:cdlwps:2015_07 is not listed on IDEAS
    8. Young-Min Ju & Myoung-Jae Lee, 2017. "Control Function Approach for Partly Ordered Endogenous Treatments: Military Rank Premium in Wage," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 1176-1194, December.

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