Treatment Evaluation in the Case of Interactions within Markets
Université Paris-Est Marne la Vallée (UPEMLV); CREST-INSEE
University of Bristol
Gerard J. Van den Berg
VU University Amsterdam - Department of Economics; Centre for Economic Policy Research (CEPR); Institute for the Study of Labor (IZA); Tinbergen Institute
IZA Discussion Paper No. 4700
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 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.
Number of Pages in PDF File: 42
Keywords: treatment evaluation, equilibrium effects, matching estimators
JEL Classification: C13, C14, C21, C31, J64working papers series
Date posted: February 1, 2010
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