全球智库信息集成服务系统(G2TT): Can Variation in Subgroups' Average Treatment Effects Explain Treatment Effect Heterogeneity? Evidence from a Social Experiment

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w20142
来源ID	Working Paper 20142
	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
发表日期	2014-05-15
出版年	2014
语种	英语
摘要	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.
主题	Subnational Fiscal Issues ; Health, Education, and Welfare ; Poverty and Wellbeing ; Labor Economics ; Demography and Aging
URL	https://www.nber.org/papers/w20142
来源智库	National Bureau of Economic Research (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/577816
推荐引用方式 GB/T 7714	Marianne P. Bitler,Jonah B. Gelbach,Hilary W. Hoynes. Can Variation in Subgroups' Average Treatment Effects Explain Treatment Effect Heterogeneity? Evidence from a Social Experiment. 2014.