Industry Wage Differentials: A Firm-Based Approach

• 成果类型: Article
• 署名作者: Card, David; Rothstein, Jesse; Yi, Moises
• 署名单位: University of California System; University of California Berkeley
• 刊物名称: JOURNAL OF LABOR ECONOMICS
• ISSN/ISSBN: 0734-306X
• DOI: 10.1086/728803
• 发表日期: 2024
• 页码: S11-S59
• 关键词: neighborhoods; impacts; workers

摘要

We revisit the estimation of industry wage differentials using linked employer-employee data. Cross-sectional industry differences overstate pay premiums due to unmeasured heterogeneity. Estimates based on models with person and industry effects understate true premiums: workers who switch to a higher-premium industry typically move from higher-paying firms in their origin industry to lower-paying firms in their destination (and vice versa). The corrected standard deviation of log wage effects is 0.122 across narrowly defined industries and is similar at higher levels of aggregation. Higher-skilled workers sort to higher-pay industries. Premiums and worker sorting are more variable in cities with higher-wage firms and higher-skilled workers.