Correcting for Misclassified Binary Regressors Using Instrumental Variables
收藏NBER2020-09-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w27797
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资源简介：
Estimators that exploit an instrumental variable to correct for misclassification in a binary regressor typically assume that the misclassification rates are invariant across all values of the instrument. We show that this assumption is invalid in routine empirical settings. We derive a new
提供机构：
美国国家经济研究局
创建时间：
2020-09-01
