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Evaluating Job Search Programs for Old and Young Individuals: Heterogeneous Impact on Unemployment Duration

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  • Luis Centeno
  • Mário Centeno
  • Álvaro A. Novo

Abstract

This paper exploits an area-based pilot experiment to identify average treatment effects on unemployment duration of treated individuals of two active labor market programs implemented in Portugal. We focus on the short-term heterogeneous impact on two subpopulations of unemployed individuals: young (targeted by the Inserjovem program) and old (targeted by the Reage program). We show that the latter program has a small and positive impact (reduction) on unemployment duration of workers finding a job upon participation, whereas the impact of Inserjovem is generally negative (extended durations). These results are robust to a wide variety of constructions of quasi-experimental settings and estimators. The identification of heterogeneous effects showed that the program results were less satisfactory for young workers, for those over 40 and for the less educated. Women also benefited less from the programs. The results seem to improve slightly for young workers in the 2nd semester of implementation, but they deteriorate in the medium term. The lack of wage subsidies in the Portuguese programs may explain the minor impacts obtained, when compared to similar programs

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Bibliographic Info

Paper provided by Banco de Portugal, Economics and Research Department in its series Working Papers with number w200806.

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Date of creation: 2008
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Handle: RePEc:ptu:wpaper:w200806

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References

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  1. 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.
  2. van den Bergh, Gerhard & van deer Klaauw, Bas, 2001. "Counseling and monitoring of unemployed workers: theory and evidence from a controlled social experiment," Working Paper Series 2001:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
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  4. Eberwein, Curtis & Ham, John C. & LaLonde, Robert J., 2002. "Alternative methods of estimating program effects in event history models," Labour Economics, Elsevier, vol. 9(2), pages 249-278, April.
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  14. 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.
  15. Mário Centeno & Álvaro A. Novo, 2007. "Identifying Unemployment Insurance Income Effects with a Quasi-Natural Experiment," Working Papers w200710, Banco de Portugal, Economics and Research Department.
  16. 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).
  17. 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.
  18. James J. Heckman, 1989. "Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs: The Case of Manpower Training," NBER Working Papers 2861, National Bureau of Economic Research, Inc.
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  21. 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.
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Citations

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Cited by:
  1. Peralta, Maria Alexandra & Swinton, Scott M. & Maredia, Mywish K., 2011. "Accounting for selection bias in impact analysis of a rural development program: An application using propensity score matching," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126398, International Association of Agricultural Economists.
  2. Christoph Ehlert & Jochen Kluve & Sandra Schaffner, 2012. "Temporary work as an active labor market policy: Evaluating an innovative program for disadvantaged youths," Economics Bulletin, AccessEcon, vol. 32(2), pages 1765-1773.
  3. Caliendo, Marco & Künn, Steffen & Schmidl, Ricarda, 2011. "Fighting Youth Unemployment: The Effects of Active Labor Market Policies," IZA Discussion Papers 6222, Institute for the Study of Labor (IZA).
  4. Mário Centeno & Álvaro A. Novo, 2012. "Segmentation," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.
  5. Bruno Crépon & Marc Gurgand & Thierry Kamionka & Laurent Lequien, 2013. "Is Counseling Welfare Recipients Cost-Effective ? Lessons from a Random Experiment," Working Papers 2013-01, Centre de Recherche en Economie et Statistique.
  6. Eichhorst, Werner & Boeri, Tito & Braga, Michela & De Coen, An & Galasso, Vincenzo & Gerard, Maarten & Kendzia, Michael J. & Mayrhuber, Christine & Pedersen, Jakob Louis & Schmidl, Ricarda & Steiber, , 2013. "Report No. 53: Combining the Entry of Young People in the Labour Market with the Retention of Older Workers," IZA Research Reports 53, Institute for the Study of Labor (IZA).
  7. Stephan Thomsen, 2009. "Job Search Assistance Programs in Europe: Evaluation Methods and Recent Empirical Findings," FEMM Working Papers 09018, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
  8. Wolff, Joachim & Nivorozhkin, Anton, 2012. "Give them a break! Did activation of young welfare recipients overshoot in Germany? (A regression discontinuity analysis)," Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62046, Verein für Socialpolitik / German Economic Association.
  9. Carlos Henrique Corseuil & Miguel Foguel & Gustavo Gonzaga & Eduardo Pontual Ribeiro, 2014. "Youth Turnover in Brazil: Job and Worker Flows and an Evaluation of a Youth-Targeted Training Program," CEDLAS, Working Papers 0155, CEDLAS, Universidad Nacional de La Plata.
  10. Jochen Kluve & Christoph Ehlert & Sandra Schaffner, 2011. "Training + Temp Work = Stepping Stone? – Evaluating an Innovative Activation Program for Disadvantaged Youths," Ruhr Economic Papers 0249, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.

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