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Active Labor Market Policies in Poland: Human Capital Enhancement, Stigmatization or Benefit Churning

Author

Listed:
  • Kluve, Jochen

    (KfW Development Bank)

  • Lehmann, Hartmut

    (Leibniz Institute for East and Southeast European Studies (IOS))

  • Schmidt, Christoph M.

    (RWI)

Abstract

This paper provides micro-econometric evidence on the effectiveness of Active Labor Market Policies (ALMP) in Poland. We sketch the theoretical framework of matching estimators as a substitute for randomization in labor market programs. Using retrospective data from the 18th wave of the Polish Labor Force Survey we implement a conditional difference-in-differences matching estimator of treatment effects. Treatment and control groups are matched over individual observable characteristics and pre-treatment labor market histories to minimize bias from unobserved heterogeneity. We also require that observations on controls are from the same regional labor market and from an identical phase of the transition cycle. Considering as the outcome a multinomial variable of labor market status, our first important finding suggests that training of men and women has a positive effect on the employment probability. For men public works and intervention works have negative treatment effects, while participation in intervention works does not affect women’s employment probabilities. We attribute the negative treatment effects for men to benefit churning rather than to stigmatization of intervention and public works participants.

Suggested Citation

  • Kluve, Jochen & Lehmann, Hartmut & Schmidt, Christoph M., 1999. "Active Labor Market Policies in Poland: Human Capital Enhancement, Stigmatization or Benefit Churning," IZA Discussion Papers 30, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp30
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    References listed on IDEAS

    as
    1. James J. Heckman, 1995. "Randomization as an Instrumental Variable," NBER Technical Working Papers 0184, National Bureau of Economic Research, Inc.
    2. Marek GÕra & Christoph M. Schmidt, 1998. "Long-term unemployment, unemployment benefits and social assistance: The Polish experience," Empirical Economics, Springer, vol. 23(1/2), pages 55-85.
    3. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
    4. Patrick Puhani & Viktor Steiner, 1997. "The Effectiveness and Efficiency of Active Labour Market Policies in Poland," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 24(3), pages 209-231, October.
    5. Puhani, Patrick A, 1998. "Advantage Through Training? A Microeconometric Evaluation of the Employment Effects of Active Labour Market Programmes in Poland," CEPR Discussion Papers 2000, C.E.P.R. Discussion Papers.
    6. Tito Boeri, 1994. "“Transitional” unemployment," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 2(1), pages 1-25, March.
    7. Card, David & Sullivan, Daniel G, 1988. "Measuring the Effect of Subsidized Training Programs on Movements in and out of Employment," Econometrica, Econometric Society, vol. 56(3), pages 497-530, May.
    8. Lechner, Michael, 1999. "Earnings and Employment Effects of Continuous Off-the-Job Training in East Germany after Unification," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 74-90, January.
    9. Joshua D. Angrist, 1998. "Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants," Econometrica, Econometric Society, vol. 66(2), pages 249-288, March.
    10. Heckman, James J, 1996. "Randomization as an Instrumental Variable: Notes," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 336-341, May.
    11. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 261-294.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    transition cycle; treatment effects; employment probabilities; difference-in-difference matching estimator; labor markets policies;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

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