Replication data for: What Mean Impacts Miss: Distributional Effects of Welfare Reform Experiments
Principal Investigator(s): View help for Principal Investigator(s) Marianne P. Bitler; Jonah B. Gelbach; Hilary W. Hoynes
Version: View help for Version V1
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| bgh_what_mean_impacts_miss_doc | 12/07/2019 12:18:PM | ||
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text/plain | 14.6 KB | 12/07/2019 07:18:AM |
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application/pdf | 25.6 KB | 12/07/2019 07:18:AM |
Project Citation:
Bitler, Marianne P., Gelbach, Jonah B., and Hoynes, Hilary W. Replication data for: What Mean Impacts Miss: Distributional Effects of Welfare Reform Experiments. Nashville, TN: American Economic Association [publisher], 2006. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-07. https://doi.org/10.3886/E116239V1
Project Description
Summary:
View help for Summary
Labor supply theory predicts systematic heterogeneity in the impact of recent welfare
reforms on earnings, transfers, and income. Yet most welfare reform research focuses
on mean impacts. We investigate the importance of heterogeneity using randomassignment
data from Connecticuts Jobs First waiver, which features key elements of
post-1996 welfare programs. Estimated quantile treatment effects exhibit the substantial
heterogeneity predicted by labor supply theory. Thus mean impacts miss a great deal.
Looking separately at samples of dropouts and other women does not improve the
performance of mean impacts. We conclude that welfare reforms effects are likely both
more varied and more extensive than has been recognized. (JEL D31, I38, J31)
Scope of Project
JEL Classification:
View help for JEL Classification
D31 Personal Income, Wealth, and Their Distributions
I38 Welfare, Well-Being, and Poverty: Government Programs; Provision and Effects of Welfare Programs
J31 Wage Level and Structure; Wage Differentials
D31 Personal Income, Wealth, and Their Distributions
I38 Welfare, Well-Being, and Poverty: Government Programs; Provision and Effects of Welfare Programs
J31 Wage Level and Structure; Wage Differentials
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