Ordered discrete-choice selection models and local average treatment effect assumptions: Equivalence, nonequivalence, and representation results
成果类型：
Article
署名作者：
Vytlacil, Edward
署名单位：
Stanford University
刊物名称：
REVIEW OF ECONOMICS AND STATISTICS
ISSN/ISSBN：
0034-6535
DOI：
10.1162/rest.88.3.578
发表日期：
2006-08
页码：
578-581
关键词：
摘要：
This note shows that the local average treatment effect (LATE) assumptions of Angrist and Imbens are weaker than imposing an ordered, discrete-choice selection model if one imposes the standard assumption of constant thresholds in the latter. However, the note extends results of Vytlacil to show that the LATE assumptions are equivalent to an ordered, discrete-choice selection model if one allows for random thresholds in the latter. A nonparametric representation result for ordered, discrete-choice models is produced as a by-product of these results.
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