Iatrogenic Specification Error: A Cautionary Tale of Cleaning Data
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下载链接：
https://www.nber.org/papers/t0289
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资源简介：
It is common in empirical research to use what appear to be sensible rules of thumb for cleaning data. Measurement error is often the justification for removing (trimming) or recoding (winsorizing) observations whose values lie outside a specified range. This paper considers identification in a
提供机构：
美国国家经济研究局
创建时间：
2003-03-01
