Best Linear Approximations to Set Identified Functions: With an Application to the Gender Wage Gap
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下载链接：
https://www.nber.org/papers/w25593
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资源简介：
This paper provides inference methods for best linear approximations to functions which are known to lie within a band. It extends the partial identification literature by allowing the upper and lower functions defining the band to carry an index, and to be unknown but parametrically or non
提供机构：
美国国家经济研究局
创建时间：
2019-02-01
