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来源类型Working Paper
规范类型报告
DOI10.3386/w22950
来源IDWorking Paper 22950
Targeting Policies: Multiple Testing and Distributional Treatment E\ufb00ects
Steven F. Lehrer; R. Vincent Pohl; Kyungchul Song
发表日期2016-12-19
出版年2016
语种英语
摘要Economic theory often predicts that treatment responses may depend on individuals’ characteristics and location on the outcome distribution. Policymakers need to account for such treatment effect heterogeneity in order to efficiently allocate resources to subgroups that can successfully be targeted by a policy. However, when interpreting treatment effects across subgroups and the outcome distribution, inference has to be adjusted for multiple hypothesis testing to avoid an overestimation of positive treatment effects. We propose six new tests for treatment effect heterogeneity that make corrections for the family-wise error rate and that identify subgroups and ranges of the outcome distribution exhibiting economically and statistically significant treatment effects. We apply these tests to individual responses to welfare reform and show that welfare recipients benefit from the reform in a smaller range of the earnings distribution than previously estimated. Our results shed new light on effectiveness of welfare reform and demonstrate the importance of correcting for multiple testing.
主题Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Poverty and Wellbeing ; Labor Economics ; Labor Supply and Demand
URLhttps://www.nber.org/papers/w22950
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/580623
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Steven F. Lehrer,R. Vincent Pohl,Kyungchul Song. Targeting Policies: Multiple Testing and Distributional Treatment E\ufb00ects. 2016.
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