劳动收入不平等加剧：调和调查数据与行政数据的证据

中文摘要

对调查数据的分析强调，教育和职业等可观测的个人特征是劳动收入不平等上升的关键因素，而行业具有抵消作用。相比之下，对行政数据的分析强调，企业间劳动收入离散度的上升，以及随之而来的行业间劳动收入离散度的上升，主导了劳动收入不平等的上升。我们将CPS微观数据与LEHD行政记录相链接，构建了一个新的整合数据集。我们发现，劳动收入不平等上升的大部分可由行业间不平等的上升来解释。这一发现反映出，劳动者基于可观测个人特征的行业间分选与隔离程度提高，对上述变化作出了重要贡献。

Abstract

Analyses of survey data highlight observable person characteristics, such as education and occupation, as critical factors for rising earnings inequality, while industry has an offsetting effect. In contrast, analysis of administrative data highlights that rising between-firm earnings dispersion and, in turn, between-industry earnings dispersion dominates the rise in earnings inequality. We construct a novel integrated dataset based on CPS micro data linked with LEHD administrative records. We find that most of the rise in earnings inequality is accounted for by rising between-industry inequality. This finding reflects a substantial contribution of increased sorting and segregation of observable person characteristics between industries.