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

Author

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  • Jochen Kluve
  • Hartmut Lehmann
  • Christoph M. Schmidt

Abstract

This paper estimates causal effects of two Polish active labor market policies - Training and Intervention Works - on employment probabilities. Using data from the 18th wave of the Polish Labor Force Survey we discuss three stages of an appropriately designed matching procedure and demonstrate how the method succeeds in balancing relevant covariates. The validity of this approach is illustrated using the estimated propensity score as a summary measure of balance. We implement a conditional difference-in-differences estimator of treatment effects based on individual trinomial sequences of pre-treatment labor 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.

Suggested Citation

  • Jochen Kluve & Hartmut Lehmann & Christoph M. Schmidt, 2002. "Disentangling Treatment Effects of Polish Active Labor Market Policies: Evidence from Matched Samples," William Davidson Institute Working Papers Series 447, William Davidson Institute at the University of Michigan.
  • Handle: RePEc:wdi:papers:2002-447
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    References listed on IDEAS

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    1. 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.
    2. Kluve, Jochen & Lehmann, Hartmut & Schmidt, Christoph M., 1999. "Active Labor Market Policies in Poland: Human Capital Enhancement, Stigmatization, or Benefit Churning?," Journal of Comparative Economics, Elsevier, vol. 27(1), pages 61-89, March.
    3. Michael Lechner, 2000. "An Evaluation of Public-Sector-Sponsored Continuous Vocational Training Programs in East Germany," Journal of Human Resources, University of Wisconsin Press, vol. 35(2), pages 347-375.
    4. 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.
    5. 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).
    6. 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.
    7. Ashenfelter, Orley & Card, David, 1985. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 648-660, November.
    8. 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.
    9. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    10. 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.
    11. 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 313-348, July.
    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 604-620, September.
    13. 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.
    14. Schmidt, Christoph M., 1999. "Knowing What Works: The Case for Rigorous Program Evaluation," IZA Discussion Papers 77, Institute for the Study of Labor (IZA).
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    16. 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.
    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.
    18. Donald B. Rubin, 1977. "Assignment to Treatment Group on the Basis of a Covariate," Journal of Educational and Behavioral Statistics, , vol. 2(1), pages 1-26, March.
    19. 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.
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    Citations

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    Cited by:

    1. Jeff Borland & Yi-Ping Tseng, 2004. "Does 'Work for the Dole' Work?," Melbourne Institute Working Paper Series wp2004n14, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    2. Venetoklis, Takis, 2002. "Public Policy Evaluation: Introduction to Quantitative Methodologies," Research Reports 90, VATT Institute for Economic Research.
    3. Rodríguez-Planas, Núria, 2007. "What Works Best for Getting the Unemployed Back to Work: Employment Services or Small-Business Assistance Programmes? Evidence from Romania," IZA Discussion Papers 3051, Institute for the Study of Labor (IZA).
    4. F. Alfonso Arellano, 2010. "Do Training Programmes Get The Unemployed Back To Work? A Look At The Spanish Experience," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 18(2), pages 39-65, Autumn.
    5. Jeff Borland & Yi-Ping Tseng & Roger Wilkins, 2013. "Does Coordination of Welfare Services Delivery Make a Difference for Extremely Disadvantaged Jobseekers? Evidence from the ‘YP-super-4’ Trial," The Economic Record, The Economic Society of Australia, vol. 89(287), pages 469-489, December.
    6. Núria Rodríguez-Planas & Jacob Benus, 2007. "Evaluating Active Labor Markets in Romania," UFAE and IAE Working Papers 699.07, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    7. Betcherman, Gordon & Olivas, Karina & Dar, Amit, 2004. "Impacts of active labor market programs : new evidence from evaluations with particular attention to developing and transition countries," Social Protection and Labor Policy and Technical Notes 29142, The World Bank.
    8. Catalina Amuedo-Dorantes & Miguel Malo & Fernando Muñoz-Bullón, 2008. "The Role of Temporary Help Agency Employment on Temp-to-Perm Transitions," Journal of Labor Research, Springer, vol. 29(2), pages 138-161, June.
    9. Nuria Rodriguez-Planas† & Jacob Benus, 2007. "Evaluative Active Labor Market Programmes in Romania," Working Papers 2007-31, FEDEA.
    10. Maciej Bukowski & Piotr Lewandowski, 2005. "Transitions from unemployment in Poland: a multinomial logit analysis," Labor and Demography 0511008, University Library of Munich, Germany, revised 19 Dec 2005.
    11. Venetoklis, Takis, 2004. "An Evaluation of Wage Subsidy Programs to SMEs Utilising Propensity Score Matching," Research Reports 106, VATT Institute for Economic Research.
    12. World Bank Group, 2016. "Activation and Public Employment Services in Poland," World Bank Other Operational Studies 29831, The World Bank.
    13. Jeff Borland & Yi-Ping Tseng, 2003. "How Do Administrative Arrangements Affect Exit from Unemployment Payments? The Case of the Job Seeker Diary in Australia," Melbourne Institute Working Paper Series wp2003n27, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

    More about this item

    Keywords

    Labor and Human Resources; Active Labor Market Policy; transition; exact matching; propensity score; Poland;

    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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