Nonparametric tests for treatment effect heterogeneity

Published

Journal Article

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. © 2008 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Full Text

Duke Authors

Cited Authors

  • Crump, RK; Joseph Hotz, V; Imbens, GW; Mitnik, OA

Published Date

  • August 1, 2008

Published In

Volume / Issue

  • 90 / 3

Start / End Page

  • 389 - 405

Electronic International Standard Serial Number (EISSN)

  • 1530-9142

International Standard Serial Number (ISSN)

  • 0034-6535

Digital Object Identifier (DOI)

  • 10.1162/rest.90.3.389

Citation Source

  • Scopus