NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH

Can Variation in Subgroups' Average Treatment Effects Explain Treatment Effect Heterogeneity? Evidence from a Social Experiment

Marianne P. Bitler, Jonah B. Gelbach, Hilary W. Hoynes

NBER Working Paper No. 20142
Issued in May 2014
NBER Program(s):Children, Labor Studies, Public Economics

In this paper, we assess whether welfare reform affects earnings only through mean impacts that are constant within but vary across subgroups. This is important because researchers interested in treatment effect heterogeneity typically restrict their attention to estimating mean impacts that are only allowed to vary across subgroups. Using a novel approach to simulating treatment group earnings under the constant mean-impacts within subgroup model, we find that this model does a poor job of capturing the treatment effect heterogeneity for Connecticut's Jobs First welfare reform experiment using quantile treatment effects. Notably, ignoring within-group heterogeneity would lead one to miss evidence that the Jobs First experiment's effects are consistent with central predictions of basic labor supply theory.

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Document Object Identifier (DOI): 10.3386/w20142

Published: Marianne P. Bitler & Jonah B. Gelbach & Hilary W. Hoynes, 2017. "Can Variation in Subgroups' Average Treatment Effects Explain Treatment Effect Heterogeneity? Evidence from a Social Experiment," The Review of Economics and Statistics, vol 99(4), pages 683-697.

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