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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w22950 |
来源ID | Working 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 |
URL | https://www.nber.org/papers/w22950 |
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/580623 |
推荐引用方式 GB/T 7714 | Steven F. Lehrer,R. Vincent Pohl,Kyungchul Song. Targeting Policies: Multiple Testing and Distributional Treatment E\ufb00ects. 2016. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w22950.pdf(1048KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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