Nonparametric Tests for Treatment Effect Heterogeneity

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Nonparametric Tests for Treatment Effect Heterogeneity

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Title: Nonparametric Tests for Treatment Effect Heterogeneity
Author: Mitnik, Oscar K.; Imbens, Guido; Hotz, V. Joseph; Crump, Richard K.

Note: Order does not necessarily reflect citation order of authors.

Citation: Crump, Richard K., V. Joseph Hotz, Guido W. Imbens and Oscar A. Mitnik. 2008. Nonparametric tests for treatment effect heterogeneity. The Review of Economics and Statistics 90, no. 3: 389-405.
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Abstract: In this paper we develop two nonparametric tests of treatment effect heterogeneity. The first test is for the null hypothesis that the treatment has a zero average effect for all subpopulations defined by covariates. The second test is for the null hypothesis that the average effect conditional on the covariates is identical for all subpopulations, that is, that there is no heterogeneity in average treatment effects by covariates. We derive tests that are straightforward to implement and illustrate the use of these tests on data from two sets of experimental evaluations of the effects of welfare-to-work programs.
Published Version: http://dx.doi.org/10.1162/rest.90.3.389
Other Sources: http://www.nber.org/papers/t0324
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:3039049

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  • FAS Scholarly Articles [7362]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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