Treatment response with social interactions : partial identification via monotone comparative statics

Natalia Lazzati

This paper studies (nonparametric) partial identification of treatment response with social interactions. It imposes conditions motivated by economic theory on the primitives of the model, that is, the structural equations, and shows that they imply shape restrictions on the distribution of potential outcomes via monotone comparative statics. The econometric framework is tractable and allows for counterfactual predictions in models with multiple equilibria. Under three sets of assumptions, we identify sharp distributional bounds on the potential outcomes given observable data. We illustrate our results by studying the effect of police per capita on crime rates in New York state.

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Year of publication:	March 2015
Authors:	Lazzati, Natalia
Published in:	Quantitative economics : QE ; journal of the Econometric Society. - Oxford [u.a.] : Wiley, ISSN 1759-7331, ZDB-ID 2569569-1. - Vol. 6.2015, 1, p. 49-83
Subject:	Treatment effects \| social interactions \| nonparametric bounds \| super-modular games \| monotone comparative statics \| first order stochastic dominance \| Theorie \| Theory \| Soziale Beziehungen \| Social relations \| Nichtparametrisches Verfahren \| Nonparametric statistics \| Statistische Verteilung \| Statistical distribution