Trimming for Bounds on Treatment Effects with Missing Outcomes
收藏NBER2002-06-01 更新2025-01-04 收录
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https://www.nber.org/papers/t0277
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资源简介：
Empirical researchers routinely encounter sample selection bias whereby 1) the regressor of interest is assumed to be exogenous, 2) the dependent variable is missing in a potentially non-random manner, 3) the dependent variable is characterized by an unbounded (or very large) support, and 4) it is
提供机构：
美国国家经济研究局
创建时间：
2002-06-01
