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Disentangling Treatment Effects of Polish Active Labour Market Policies: Evidence from Matched Samples

  • Kluve, Jochen
  • Lehmann, Hartmut
  • Schmidt, Christoph M

This Paper estimates causal effects of two Polish active labour market policies – Training and Intervention Works – on employment probabilities. Utilizing data from the 18th wave of the Polish Labor Force Survey we discuss three stages of an appropriately designed exact matching procedure. The approach is illustrated using the estimated propensity score as a summary measure of balance. Distributions of pre-treatment labour market status histories show the decisive relevance of employment indicators as determinants of programme participation – a point often ignored in evaluation research. We implement a conditional difference-in-differences estimator of treatment effects based on these individual trinomial sequences of pre-treatment labour market status. Our findings suggest that Training raises employment probability, while Intervention Works seems to lead to a negative treatment effect for men. Furthermore, we find that appropriate subdivision of the matched sample for conditional treatment effect estimation can add considerable insight to the interpretation of results.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 3298.

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Date of creation: Apr 2002
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Handle: RePEc:cpr:ceprdp:3298
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  1. Orley Ashenfelter & David Card, 1984. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," Working Papers 554, Princeton University, Department of Economics, Industrial Relations Section..
  2. Marek Gora and Christoph M. Schmidt & Marek Gora and Christoph M. Schmidt, 1997. "Long-Term Unemployment, Unemployment Benefits and Social Assistance: The Polish Experience," William Davidson Institute Working Papers Series 110, William Davidson Institute at the University of Michigan.
  3. David Card & Daniel Sullivan, 1987. "Measuring the Effect of Subsidized Training Programs on Movements In andOut of Employment," NBER Working Papers 2173, National Bureau of Economic Research, Inc.
  4. 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.
  5. Lechner, Michael, 1996. "An Evaluation of Public Sector Sponsored Continuous Vocational Training Programs in East Germany," Discussion Papers 539, Institut fuer Volkswirtschaftslehre und Statistik, Abteilung fuer Volkswirtschaftslehre.
  6. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
  7. Jinyong Hahn, 1998. "On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects," Econometrica, Econometric Society, vol. 66(2), pages 315-332, March.
  8. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
  9. Jochen Kluve & Hartmut Lehmann & Christophe M. Schmidt, 1999. "Active Labor Market Policies in Poland: Human Capital Enhancement, Stigmatization or Benefit Churning?," LICOS Discussion Papers 8099, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
  10. Schmidt, Christoph M, 2001. "Knowing What Works. The Case for Rigorous Programme Evaluation," CEPR Discussion Papers 2826, C.E.P.R. Discussion Papers.
  11. Puhani, Patrick A., 1998. "Advantage through training? A microeconometric evaluation of the employment effects of active labour market programmes in Poland," ZEW Discussion Papers 98-25, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  12. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-20, September.
  13. James J. Heckman & Jeffrey A. Smith, 1999. "The Pre-Program Earnings Dip and the Determinants of Participation in a Social Program: Implications for Simple Program Evaluation Strategies," NBER Working Papers 6983, National Bureau of Economic Research, Inc.
  14. Augurzky, Boris & Schmidt, Christoph M., 2001. "The Propensity Score: A Means to An End," IZA Discussion Papers 271, Institute for the Study of Labor (IZA).
  15. Joshua D. Angrist & Jinyong Hahn, 1999. "When to Control for Covariates? Panel-Asymptotic Results for Estimates of Treatment Effects," NBER Technical Working Papers 0241, National Bureau of Economic Research, Inc.
  16. Heckman, James J & Smith, Jeffrey A, 1999. "The Pre-programme Earnings Dip and the Determinants of Participation in a Social Programme. Implications for Simple Programme Evaluation Strategies," Economic Journal, Royal Economic Society, vol. 109(457), pages 313-48, July.
  17. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097 Elsevier.
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