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The relative efficiency of active labour market policy: evidence from a social experiment and non-parametric methods

Author

Listed:
  • Vikström, Johan

    () (IFAU - Institute for Labour Market Policy Evaluation)

  • Rosholm, Michael

    () (Department of Economics and Business, Aarhus University)

  • Svarer, Michael

    () (Department of Economics and Business, Aarhus University)

Abstract

We reanalyze the effects of a Danish active labour market program social experiment, that included a range of sub-treatments, including monitoring, job search assistance and training. Previous studies have shown that the overall effect of the experiment is positive. We apply newly developed non-parametric methods to determine which of the individual policies that explains the positive effect. The use of non-parametric methods to separate sub-treatment effects is important from a methodological point of view, since the alternative, namely parametric/distributional assumptions, is in conflict with the concept of experimental evidence. Our results are highly relevant in a policy perspective, as optimal labour market policy design requires knowledge on the effectiveness of specific policy measures.

Suggested Citation

  • Vikström, Johan & Rosholm, Michael & Svarer, Michael, 2011. "The relative efficiency of active labour market policy: evidence from a social experiment and non-parametric methods," Working Paper Series 2011:7, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  • Handle: RePEc:hhs:ifauwp:2011_007
    as

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    File URL: http://www.ifau.se/Upload/pdf/se/2011/wp11-07-The-relative-efficiency-of-active-labour-market-policies.pdf
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    References listed on IDEAS

    as
    1. Ridder, Geert & Vikström, Johan, 2011. "Bounds On Treatment Effects On Transitions," Working Paper Series, Center for Labor Studies 2011:3, Uppsala University, Department of Economics.
    2. Gerard J. van den Berg & Bas van der Klaauw, 2006. "Counseling And Monitoring Of Unemployed Workers: Theory And Evidence From A Controlled Social Experiment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(3), pages 895-936, August.
    3. David Card & Jochen Kluve & Andrea Weber, 2010. "Active Labour Market Policy Evaluations: A Meta-Analysis," Economic Journal, Royal Economic Society, vol. 120(548), pages 452-477, November.
    4. Hägglund, Pathric, 2006. "Are there pre-programme effects of Swedish active labour market policies? Evidence from three randomised experiments," Working Paper Series 2006:2, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    5. Rosholm, Michael, 2008. "Experimental Evidence on the Nature of the Danish Employment Miracle," IZA Discussion Papers 3620, Institute for the Study of Labor (IZA).
    6. Anders Frederiksen & Niels Westergaard-Nielsen, 2002. "Where did they go?," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D3-2, International Conferences on Panel Data.
    7. Dan A. Black & Jose Galdo & Jeffrey A. Smith, 2007. "Evaluating the Worker Profiling and Reemployment Services System Using a Regression Discontinuity Approach," American Economic Review, American Economic Association, vol. 97(2), pages 104-107, May.
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    Citations

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    Cited by:

    1. Torben Andersen & Michael Svarer, 2012. "Active labour market policies in a recession," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-19, December.
    2. Gautier, Pieter A. & Muller, Paul & van der Klaauw, Bas & Rosholm, Michael & Svarer, Michael, 2012. "Estimating Equilibrium Effects of Job Search Assistance," IZA Discussion Papers 6748, Institute for the Study of Labor (IZA).
    3. Saniter, Nils & Siedler, Thomas, 2014. "The Effects of Occupational Knowledge: Job Information Centers, Educational Choices, and Labor Market Outcomes," IZA Discussion Papers 8100, Institute for the Study of Labor (IZA).

    More about this item

    Keywords

    Active labour market policy; treatment effect; non-parametric bounds;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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