Augmenting the Human Capital Earnings Equation with Measures of Where People Work
利用美国制造业的雇员-企业面板数据，发现企业层面的就业规模、同事教育水平、人均资本设备和企业研发强度显著影响收入，且企业特征通过员工筛选加剧收入不平等。
We augment standard log earnings equations for workers in US manufacturing with variables reflecting measured and unmeasured attributes of their employer. Using panel employee-establishment data, we find that establishment-level employment, education of coworkers, capital equipment per worker, and firm-level R&D intensity affects earnings substantially. Unobserved characteristics of employers captured by employer fixed effects also contribute to the variance of log earnings, although less than unobserved characteristics of individuals captured by individual fixed effects. The observed and unobserved measures of employers mediate the effects of individual characteristics on earnings and increase earnings inequality through sorting of workers among establishments.