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Do Government Sponsored Vocational Training Programs Help the Unemployed Find Jobs? Evidence from Russia

Author

Listed:
  • Anton Nivorozhkin

    (Goteberg University)

  • Eugene Nivorozhkin

    (University of Groningen)

Abstract

The study estimates the employment effect of vocational training programs for the unemployed in urban Russia. The results of propensity score matching indicate that training programs had a non-negative overall effect on the program participants relative to non-participants.

Suggested Citation

  • Anton Nivorozhkin & Eugene Nivorozhkin, 2005. "Do Government Sponsored Vocational Training Programs Help the Unemployed Find Jobs? Evidence from Russia," Upjohn Working Papers 04-100, W.E. Upjohn Institute for Employment Research.
    • Handle: RePEc:upj:weupjo:05-115
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    References listed on IDEAS

    as
    1. 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.
    2. World Bank, 2003. "The Russian Labor Market : Moving from Crisis to Recovery," World Bank Publications - Books, The World Bank Group, number 15007, April.
    3. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LLC, vol. 2(4), pages 358-377, November.
    4. Michael Lechner, 2002. "Program Heterogeneity And Propensity Score Matching: An Application To The Evaluation Of Active Labor Market Policies," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 205-220, May.
    5. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    6. Christopher J. O'Leary & Alena Nesporova & Alexander Samorodov, 2001. "Manual on Evaluation of Labour Market Policies in Transition Economies," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number cjo2001.
    7. Jochen Kluve & Christoph M. Schmidt, 2002. "Can training and employment subsidies combat European unemployment? [‘The non-parametric identification of treatment effects in duration models’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 17(35), pages 409-448.
    8. Rajeev H. Dehejia & Sadek Wahba, 1998. "Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs," NBER Working Papers 6586, National Bureau of Economic Research, Inc.
    9. Martin, John P. & Grubb, David, 2001. "What works and for whom: a review of OECD countries' experiences with active labour market policies," Working Paper Series 2001:14, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    10. 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.
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    12. Lawrence H. Thompson, 2002. "Russia," World Bank Publications - Books, The World Bank Group, number 24113, April.
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    Cited by:

    1. P. Azad & P. K. Sujathan, 2022. "Hazard Analysis of Unemployment Duration of Return Migrants: The Case of Indian State of Kerala," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(4), pages 881-901, December.
    2. Tasnim Khan & Fatima Yousaf, 2013. "Unemployment Duration of First Time Job Seekers: A Case Study of Bahawalpur," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 1(1), pages 8-19, December.
    3. Aysit Tansel & H. Mehmet Taşçı, 2010. "Hazard Analysis of Unemployment Duration by Gender in a Developing Country: The Case of Turkey," LABOUR, CEIS, vol. 24(4), pages 501-530, December.
    4. Kirill Furmanov & Irina Shelkovnikova, 2014. "Unemployed and out of the labor force: What is the difference? Modeling the probability of finding a job," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 35(3), pages 86-106.
    5. Lilas Demmou & Andreas Wörgötter, 2015. "Boosting Productivity in Russia: Skills, Education and Innovation," OECD Economics Department Working Papers 1189, OECD Publishing.
    6. Hadi S. AlHarbi, 2021. "The Impact of Partnership between the Public Authority for Applied Education and Training and the Kuwaiti Labor Market on the Outcome Quality of the Training Sector," International Journal of Business and Management, Canadian Center of Science and Education, vol. 14(12), pages 1-53, July.
    7. repec:jle:journl:195 is not listed on IDEAS

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    Keywords

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    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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