Active Labor Market Policy Effects in a Dynamic Setting
AbstractThis 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 although 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. (JEL: C14, C21, C31, C41, H43, J64) (c) 2009 by the European Economic Association.
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Bibliographic InfoArticle provided by MIT Press in its journal Journal of the European Economic Association.
Volume (Year): 7 (2009)
Issue (Month): 2-3 (04-05)
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Web page: http://www.mitpressjournals.org/jeea
Other versions of this item:
- Bruno Crépon & Marc Ferracci & Grégory Jolivet & Gerard J. van den Berg, 2008. "“Active Labor Market Policy Effects in a Dynamic Setting”," Working Papers 2008-25, Centre de Recherche en Economie et Statistique.
- 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).
- Crépon, Bruno & Ferracci, Marc & Jolivet, Grégory & van den Berg, Gerard J., 2009. "Active labor market policy effects in a dynamic setting," Working Paper Series 2009:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- 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
- H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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- 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].
- 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).
- Gaure, Simen & Røed, Knut & Westlie, Lars, 2012. "Job search incentives and job match quality," Labour Economics, Elsevier, vol. 19(3), pages 438-450.
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