Does Unemployed Training Increase Individual Employability? Evidence from Latvian Microdata
AbstractIn this paper we evaluate the efficiency of unemployed training programmes in Latvia, using propensity score matching. Primary data files provided by the State Employment Agency of Latvia are used to construct the individual database of unemployed and programme participants. Available data allow evaluating the following programs: (i) unemployed occupational training (vocational training, re-qualification and rising of qualifications); (ii) state language training for non - Latvians; (iii) modular training programme (training in foreign language, computer literacy, project management and business operation, driving). We investigate the impact of participation in each of those programs on the unemployed transition to employment, examine heterogeneity in programme effect across different so- cio - demographic (gender, age, education) and regional groups and try to establish an empirical link between targeting of the programme and its efficiency. We also test the sensitivity of our results to the so called ”hidden” bias. The results reveal that the participation in occupational training always increases indi- vidual employability, while the effects of modular training in state language are often insignificant and the effects of modular training in other skills are weak and only appear in a long run. The effect of occupational training does not vary significantly with respect to the gender or ethnicity, but it is heterogenous with respect to the age (stronger among young unemployed) education (increasing in its level), working experience of the unem- ployed or their region of residence. The effect of modular training is higher among men, unemployed without work experience and rural area inhabitants, while modular training in other skills has the strongest impact on women, young unemployed, unemployed without work experience and Latvians.
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Bibliographic InfoPaper provided by Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne in its series Documents de recherche with number 08-04.
Length: 44 pages
Date of creation: 2008
Date of revision:
policy evaluation; unemployed training; propensity score matching; sensitivity analysis;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
- H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
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- Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
- Imbens, Guido & Abadie, Alberto, 2008.
"On the Failure of the Bootstrap for Matching Estimators,"
3043415, Harvard University Department of Economics.
- Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
- Alberto Abadie & Guido W. Imbens, 2006. "On the Failure of the Bootstrap for Matching Estimators," NBER Technical Working Papers 0325, National Bureau of Economic Research, Inc.
- Rajeev H. Dehejia & Sadek Wahba, 2002.
"Propensity Score-Matching Methods For Nonexperimental Causal Studies,"
The Review of Economics and Statistics,
MIT Press, vol. 84(1), pages 151-161, February.
- Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity score matching methods for non-experimental causal studies," Discussion Papers 0102-14, Columbia University, Department of Economics.
- Dehejia, R.H. & Wahba, S., 1998. "Propensity Score Matching Methods for Non-Experimental Causal Studies," Discussion Papers 1998_02, Columbia University, Department of Economics.
- Rajeev H. Dehejia & Sadek Wahba, 1998. "Propensity Score Matching Methods for Non-experimental Causal Studies," NBER Working Papers 6829, National Bureau of Economic Research, Inc.
- A. Smith, Jeffrey & E. Todd, Petra, 2005.
"Does matching overcome LaLonde's critique of nonexperimental estimators?,"
Journal of Econometrics,
Elsevier, vol. 125(1-2), pages 305-353.
- Jeffrey Smith & Petra Todd, 2003. "Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?," University of Western Ontario, CIBC Centre for Human Capital and Productivity Working Papers 20035, University of Western Ontario, CIBC Centre for Human Capital and Productivity.
- Sascha O. Becker & Marco Caliendo, 2007.
"Sensitivity analysis for average treatment effects,"
StataCorp LP, vol. 7(1), pages 71-83, February.
- Becker, Sascha O. & Caliendo, Marco, 2007. "mhbounds – Sensitivity Analysis for Average Treatment Effects," IZA Discussion Papers 2542, Institute for the Study of Labor (IZA).
- Sascha O. Becker & Marco Caliendo, 2007. "mhbounds - Sensitivity Analysis for Average Treatment Effects," Discussion Papers of DIW Berlin 659, DIW Berlin, German Institute for Economic Research.
- Jekaterina Dmitrijeva & Mihails Hazans, 2005.
"A stock-flow matching approach to evaluation of public training program in a high unemployment environment,"
Labor and Demography
- Jekaterina Dmitrijeva & Mihails Hazans, 2007. "A Stock-Flow Matching Approach to Evaluation of Public Training Programme in a High Unemployment Environment," LABOUR, CEIS, vol. 21(3), pages 503-540, 09.
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