Publication Type
Journal Article
Version
publishedVersion
Publication Date
2005
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. [PUBLICATION ABSTRACT]
Discipline
Econometrics | Education | Labor Economics
Research Areas
Econometrics
Publication
Journal of Applied Econometrics
Volume
20
Issue
4
First Page
549
ISSN
0883-7252
Identifier
10.1002/jae.771
Publisher
Wiley
Citation
Lee, Myoung-jae and Lee, S. J..
Analysis of Job-Training Effects on Korean Women. (2005). Journal of Applied Econometrics. 20, (4), 549.
Available at: https://ink.library.smu.edu.sg/soe_research/378
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1002/jae.771