Partial Compliance, Effect of Treatment on the Treated and Instrumental Variables

被引:1
|
作者
Forcina, Antonio [1 ]
机构
[1] Dipartimento Econ Finanza & Stat, I-06100 Perugia, Italy
关键词
CAUSAL INFERENCE; PRINCIPAL STRATIFICATION; MEAN MODELS; NONCOMPLIANCE; TRIALS;
D O I
10.1007/978-3-642-13312-1_33
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Under the assumption that treatment assignment has no direct effect on the response, a non parametric probabilistic model of the distribution involving the latent confounder under partial compliance leads to a generalized definition of the effect of treatment on the treated and reveals that the instrumental variable estimand equals a suitable average of such causal effects only when certain restrictions hold. An application to a popular data set concerning reduction of cholesterol level is used as an illustration.
引用
收藏
页码:317 / 324
页数:8
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