Advanced SearchSearch Tips
Estimation and Sensitivity Analysis on the Effect of Job Training for Non-Regular Employees
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Estimation and Sensitivity Analysis on the Effect of Job Training for Non-Regular Employees
Lee, Sang-Jun;
  PDF(new window)
This paper studies the effect of job training for non-regular employees in the Korea labor market. Using an economically active population data set of statistics Korea, we apply a non-parametric matching and sensitivity analysis method to measure the effect of the training for non-regular employees and to look for the impact of an unobservable variable or confounding factor in regards to the selection effect and outcome effect. In the our empirical results, we conclude that the effect of the training for non-regular employees has a better employment effect for getting a regular job rather than a wage effect; in addition, the impact of unobservable variables or confounding factors do not exercise a statistically strong influence on the baseline ATT.
Matching;non-regular or temporary job;training effect;sensitivity analysis;confoundedness;
 Cited by
유경준, 강창희(2010). 직업훈련의 임금효과 분석:경제활동인구조사를 중심으로, <한국개발연구>, 32, 27-53.

채창균 (2009). 비정규직의 직업훈련 참여 실태와 성과, <비정규직 문제 종합연구>, 한국개발연구원, 221-250.

Budriaa, S. and Pereira, P. T. (2004). On the Returns to Training in Portugal, IZA, Discussion Paper No.1429.

Francis, G. (2000). The impact Of company human resources polices on social skills: Implications for training sponsorship, quit rates and efficiency wages, Scottish Journal Of Political Economy, 47, 251-272. crossref(new window)

Heckman, J., Ichimura, H. and Todd, P. (1997). Matching as an econometric evaluation estimator: Evidence from evaluating a job training programme, The Review of Economic Studies, 64, 605-654. crossref(new window)

Holzer, H. J., Block, R, N., Cheathan, M. and Knott, J. H. (1993). Are training subsidies for firms effective? The Michigan experience, Industrial and Labor Relations Review, 46, 625-636. crossref(new window)

Ichino, A., Mealli, F. and Nannicini, T. (2008). From temporary help jobs to permanent employment: What can we learn from matching estimators and their sensitivity?, Journal of Applied Econometrics, 23, 305-327. crossref(new window)

Krueger, A. and Rouse, C. (1998). The effect of workplace education on earnings, turnover, and job performance, Journal of Labor Economics, 16, 61-94. crossref(new window)

Lechner, M. (2002). Program heterogeneity and propensity score matching: An application to the evaluation of active labor market policies, Review of Economics and Statistics, 84, 205-220. crossref(new window)

Pischke, J.-S. (2001). Continuous training in Germany, Journal of Population Economics, 14, 523-548. crossref(new window)

Rosenbaum, P. and Rubin, D. (1983a). The central role of the propensity score in observational studies for causal effects, Biometrika, 70, 41-55. crossref(new window)

Rosenbaum, P. and Rubin, D. (1983b). Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome, Journal of the Royal Statistical Society Series B, 45, 212-218.

Rosenbaum, P. and Rubin, D. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score, American Statistician, 3, 33-38.

Smith, J. and Todd, P. (2005). Does matching overcome Lalonde's critique of nonexperimental estimators?, Journal of Econometrics, 125, 305-353. crossref(new window)