for providing us with data. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.
Since 1973 median compensation has diverged starkly from average labor productivity. Since 2000, average compensation has also begun to diverge from labor productivity. These divergences lead to the question: to what extent does productivity growth translate into compensation growth for typical American workers? We investigate this, regressing median, average and production/nonsupervisory compensation growth on productivity growth in various specifications. We find substantial evidence of linkage between productivity and compensation: over 1973-2016, one percentage point higher productivity growth has been associated with 0.7 to 1 percentage points higher median and average compensation growth and with 0.4 to 0.7 percentage points higher production/nonsupervisory compensation growth. These results suggest that other factors orthogonal to productivity have been acting to suppress typical compensation even as productivity growth has been acting to raise it. Several theories of the cause of the productivity-compensation divergence focus on technological progress. These theories have a testable implication: periods of higher productivity growth should be associated with periods of faster productivity-pay divergence. We do not find substantial evidence of co-movement between productivity growth and the labor share or mean/median compensation ratio. This tends not to provide strong support for pure technology-based theories of the productivity-compensation divergence.
for providing us with data. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.