Active Labor Market Policy Effects in a Dynamic Setting

Bruno Crépon, Marc Ferracci, Gregory Jolivet and Gerard van den Berg

Journal of the European Economic Association, 2009, vol. 7, issue 2-3, 595-605

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 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.

JEL-codes: C14 C21 C31 C41 H43 J64 (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (48)

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Working Paper: Active labor market policy effects in a dynamic setting (2009)
Working Paper: Active Labor Market Policy Effects in a Dynamic Setting (2008)
Working Paper: Active Labor Market Policy Effects in a Dynamic Setting (2008)
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