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Active Labor Market Policy Effects in a Dynamic Setting

Author

Listed:
  • Crépon, Bruno

    () (CREST)

  • Ferracci, Marc

    () (CREST-INSEE)

  • Jolivet, Grégory

    () (University of Bristol)

  • van den Berg, Gerard J.

    () (University of Bristol)

Abstract

This paper implements a method to identify and estimate treatment effects in a dynamic setting where treatments may occur at any point in time. By relating the standard matching approach to the timing-of-events approach, it demonstrates that effects of the treatment on the treated at a given date can be identified even though non-treated may be treated later in time. The approach builds on a "no anticipation" assumption and the assumption of conditional independence between the duration until treatment and the counterfactual durations until exit. To illustrate the approach, the paper studies the effect of training for unemployed workers in France, using a rich register data set. Training has little impact on unemployment duration. The contamination of the standard matching estimator due to later entries into treatment is large if the treatment probability is high.

Suggested Citation

  • Crépon, Bruno & Ferracci, Marc & Jolivet, Grégory & van den Berg, Gerard J., 2008. "Active Labor Market Policy Effects in a Dynamic Setting," IZA Discussion Papers 3848, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp3848
    as

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    References listed on IDEAS

    as
    1. Stéphane Carcillo & David Grubb, 2006. "From Inactivity to Work: The Role of Active Labour Market Policies," OECD Social, Employment and Migration Working Papers 36, OECD Publishing.
    2. Fredriksson, Peter & Johansson, Per, 2008. "Dynamic Treatment Assignment," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 435-445.
    3. Michael Lechner & Ruth Miquel, 2010. "Identification of the effects of dynamic treatments by sequential conditional independence assumptions," Empirical Economics, Springer, vol. 39(1), pages 111-137, August.
    4. Fredriksson, Peter & Johansson, Per, 2004. "Dynamic Treatment Assignment – The Consequences for Evaluations Using Observational Data," IZA Discussion Papers 1062, Institute for the Study of Labor (IZA).
    5. de Luna, Xavier & Johansson, Per, 2007. "Matching estimators for the effect of a treatment on survival times," Working Paper Series 2007:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    6. Richardson, Katarina & van den Berg, Gerard J, 2008. "Duration dependence versus unobserved heterogeneity in treatment effects: Swedish labor market training and the transition rate to employment," Working Paper Series 2008:7, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    7. Jaap H. Abbring & Gerard J. van den Berg, 2003. "The Nonparametric Identification of Treatment Effects in Duration Models," Econometrica, Econometric Society, vol. 71(5), pages 1491-1517, September.
    8. 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)

    Citations

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    Cited by:

    1. Aderonke Osikominu, 2013. "Quick Job Entry or Long-Term Human Capital Development? The Dynamic Effects of Alternative Training Schemes," Review of Economic Studies, Oxford University Press, vol. 80(1), pages 313-342.
    2. Martin Biewen & Bernd Fitzenberger & Aderonke Osikominu & Marie Paul, 2014. "The Effectiveness of Public-Sponsored Training Revisited: The Importance of Data and Methodological Choices," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 837-897.
    3. Marc FERRACCI & Grégory JOLIVET & Gerard J van den Berg, 2009. "Treatment Evaluation in the Case of Interaction Within Markets," Working Papers 2009-22, Center for Research in Economics and Statistics.
    4. Singer, Christine & Toomet, Ott-Siim, 2013. "On government-subsidized training programs for older workers," IAB Discussion Paper 201321, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Dauth, Christine, 2016. "Do low-skilled employed workers benefit from further training subsidies?," Annual Conference 2016 (Augsburg): Demographic Change 145533, Verein für Socialpolitik / German Economic Association.
    6. Gerard Van Den Berg & Antoine Bozio & Monica Costa Dias, 2013. "Policy discontinuity and duration outcomes," IFS Working Papers W13/27, Institute for Fiscal Studies.
    7. Crépon, Bruno & van den Berg, Gerard J., 2016. "Active Labor Market Policies," IZA Discussion Papers 10321, Institute for the Study of Labor (IZA).
    8. Schmidl, Ricarda, 2015. "The Effectiveness of Early Vacancy Information in the Presence of Monitoring and ALMP," IZA Discussion Papers 9575, Institute for the Study of Labor (IZA).
    9. Andrea Albanese & Bart Cockx & Yannick Thuy, 2015. "Working Time Reductions at the End of the Career. Do they prolong the Time Spent in Employment?," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 2015024, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    10. Kent Eliasson & Pär Hansson & Markus Lindvert, 2012. "Do firms learn by exporting or learn to export? Evidence from small and medium-sized enterprises," Small Business Economics, Springer, vol. 39(2), pages 453-472, September.
    11. Gaure, Simen & Røed, Knut & van den Berg, Gerard J. & Zhang, Tao, 2010. "Estimation of Heterogeneous Treatment Effects on Hazard Rates," IZA Discussion Papers 4794, Institute for the Study of Labor (IZA).
    12. Gaure, Simen & Røed, Knut & Westlie, Lars, 2012. "Job search incentives and job match quality," Labour Economics, Elsevier, vol. 19(3), pages 438-450.
    13. Vikman, Johan, 2014. "IPW estimation and related estimators for evaluation of active labor market policies in a dynamic setting," Working Paper Series, Center for Labor Studies 2014:8, Uppsala University, Department of Economics.
    14. Isabelle Benoteau, 2015. "Quels effets du recrutement en contrat aidé sur la trajectoire professionnelle ? Une évaluation à partir du Panel 2008," Économie et Statistique, Programme National Persée, vol. 477(1), pages 85-129.

    More about this item

    Keywords

    unemployment duration; propensity score; training; matching; program participation; treatment; contamination bias;

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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