Active Labor Market Policy Effects in a Dynamic Setting

作者: Bruno Crépon , Marc Ferracci , Grégory Jolivet , Gerard J Van den Berg , None

DOI: 10.1162/JEEA.2009.7.2-3.595

关键词:

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

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