We augment standard ln earnings equations with variables reflecting unmeasured attributes of workers and measured and unmeasured attributes of their employer. Using panel employee-establishment data for US manufacturing we find that the observable employer characteristics that most impact...

This paper uses U.S. Census Bureau panel data that link firm software investment to worker earnings. We regress the log of earnings of workers by age group on the software investment by their employing firm. To unpack the potential causal factors for differential software effects by age group we...

This paper finds that US employment changed differently relative to output in the Great Recession and recovery than in most other advanced countries or in the US in earlier recessions. Instead of hoarding labor, US firms reduced employment proportionately more than output in the Great Recession,...

We use a unique match between the 2000 Decennial Census of the United States and the Longitudinal Employer Household Dynamics (LEHD) data to analyze how much of the increase in the gender earnings gap over the lifecycle comes from shifts in the sorting of men and women across high- and low-pay...

This paper uses linked establishment-firm-employee data to examine the relationship between the scientists and engineers proportion (SEP) of employment, and productivity and labor earnings. We show that: (1) most scientists and engineers in industry are employed in establishments producing goods...

This paper links data on establishments and individuals to analyze the role of establishments in the increase in inequality that has become a central topic in economic analysis and policy debate. It decomposes changes in the variance of log earnings among individuals into the part due to changes...