Cristina J. Tello-Trillo is an economist at the U.S. Census Bureau Center for Economic Studies, and Adjunct Professor at the University of Maryland and Johns Hopkins University. This post is based on a recent paper authored by Ms. Tello-Trillo; Scott W. Ohlmacher, economist at the U.S. Census Bureau Center for Economic Studies; Nicholas A. Bloom, William Eberle Professor of Economics at Stanford University; and Melanie Wallskog, PhD candidate in economics at Stanford University.
In the paper Pay, Productivity and Management recently published on the NBER working paper series we study the relationship between productivity, management, and worker’s pay. Using confidential Census matched employer-employee earnings data we find that employees at more productive firms have substantially higher mean pay and higher pay across all percentiles of the earnings distribution. Not only are executive earnings higher but so are earnings at every level, from the 1st percentile upwards. In particular, a 10% increase in productivity is associated with a 0.7% increase in mean pay. This increase is not equally distributed across workers at the firm: a 10% increase in productivity predicts a 1.3% increase in pay for earners at the top 99th percentile (the C-suite), a 0.82% increase in pay for earners at the 90th percentile and only a 0.51% increase in pay for earners at the 10th percentile. We can observe the effects across all percentiles in figure 1.

