Sensitivity to Missing Data Assumptions: Theory and An Evaluation of the U.S. Wage Structure

This paper develops methods for assessing the sensitivity of empirical conclusions regarding conditional distributions to departures from the missing at random (MAR) assumption. We index the degree of non-ignorable selection governing the missingness process by the maximal Kolmogorov-Smirnov (KS)

本文提出了评估条件分布相关实证结论对偏离随机缺失（missing at random, MAR）假设敏感性的方法。我们通过最大科尔莫戈罗夫-斯米尔诺夫（Kolmogorov-Smirnov, KS）来量化控制缺失过程的非忽略性选择程度。