Treatment evaluation in the case of interactions within markets
Gregory Jolivet and
Gerard van den Berg
No 2010:1, Working Paper Series from IFAU - Institute for Evaluation of Labour Market and Education Policy
We extend the standard evaluation framework to allow for interactions between individuals within segmented markets. An individual’s outcome depends not only on the assigned treatment status but also on (features of) the distribution of the assigned treatments in his market. To evaluate how the distribution of treatments within a market causally aﬀects the average eﬀect within the market, averaged over the full population, we develop an identiﬁcation and estimation method in two steps. The ﬁrst one focuses on the distribution of the treatment within markets and between individuals and the second step addresses the distribution of the treatment between markets. We apply our method to data on training programs for unemployed workers in France. We use a rich administrative register of unemployment and training spells as well as the information on local labor demand that is used by unemployment agencies to allocate training programs. The results show that the average treatment eﬀect on the employment rate causally decreases with respect to the proportion of treated in the market. Our analysis accounts for unobserved heterogeneity between markets (using the longitudinal dimension of the data) and, in a robustness check, between individuals.
Keywords: Treatment evaluation; equilibrium effects; matching estimators (search for similar items in EconPapers)
JEL-codes: C13 C14 C21 C31 J64 (search for similar items in EconPapers)
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Published as Ferracci, Marc, Gregóry Jolivet and Gerard J. van den Berg, 'Evidence of Treatment Spillovers Within Markets' in The Review of Economics and Statistics, 2014, pages 812-823.
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Working Paper: Treatment Evaluation in the Case of Interactions within Markets (2010)
Working Paper: Treatment Evaluation in the Case of Interaction Within Markets (2009)
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