Long Story Short: Omitted Variable Bias in Causal Machine Learning
收藏NBER2022-08-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w30302
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资源简介：
We derive general, yet simple, sharp bounds on the size of the omitted variable bias for a broad class of causal parameters that can be identified as linear functionals of the conditional expectation function of the outcome. Such functionals encompass many of the traditional targets of investigation
提供机构：
美国国家经济研究局
创建时间：
2022-08-01
