Treatment effect heterogeneity in theory and practice
Treatment effect heterogeneity in theory and practice
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DOI：
10.1111/j.0013-0133.2003.00195.x
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发表时间：
2004-03-01
期刊：
影响因子：
3.2
通讯作者：
Angrist, JD
中科院分区：
文献类型：
--
作者：
Angrist, JD
工具变量（IV）方法确定内部有效的因果关系的个人，其治疗状态是操纵的工具在手。对其他总体的推断需要同质性假设。本文概述了一个嵌套因果同质性假设的理论框架。这些想法说明使用兄弟姐妹性别组成估计生育对经济和婚姻结果的影响。申请的动机是美国的福利改革。经验结果普遍支持生育导致劳动力供应减少和贫困增加的概念，但关于生育对婚姻稳定和福利使用的影响的证据较为薄弱。
Instrumental Variables (IV) methods identify internally valid causal effects for individuals whose treatment status is manipulable by the instrument at hand. Inference for other populations requires homogeneity assumptions. This paper outlines a theoretical framework that nests causal homogeneity assumptions. These ideas are illustrated using sibling-sex composition to estimate the effect of childbearing on economic and marital outcomes. The application is motivated by American welfare reform. The empirical results generally support the notion of reduced labour supply and increased poverty as a consequence of childbearing but evidence on the impact of childbearing on marital stability and welfare use is more tenuous.