Sorting Between and Within Industries: A Testable Model of Assortative Matching
We test for sorting of workers between and within industrial sectors in a directed search model with coordination frictions. We fit the model to sector-specific vacancy and output data along with publicly-available statistics that characterize the distribution of worker and employer wage heterogeneity across sectors. Our empirical method is general and can be applied to a broad class of assignment models. The results indicate that industries are the loci of sorting-more productive workers are employed in more productive industries. The evidence confirms assortative matching can be present even when worker and employer components of wage heterogeneity are weakly correlated.
Any opinions and conclusions expressed herein are those of the authors and do not necessarily represent the views of the U.S. Census Bureau. All results have been reviewed to ensure that no confidential information is disclosed. This research uses data from the Census Bureau's Longitudinal Employer Household Dynamics Program, which was partially supported by the following National Science Foundation Grants SES-9978093, SES-0339191 and ITR-0427889; National Institute on Aging Grant AG018854; and grants from the Alfred P. Sloan Foundation. Abowd also acknowledges direct support from NSF Grants SES-0339191, CNS-0627680, SES-0922005, TC-1012593, and SES-1131848. The data used in this paper were derived from confidential data produced by the LEHD Program at the U.S. Census Bureau. All estimation was performed on public-use versions of these data available directly from the authors. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.
John M. Abowd & Francis Kramarz & Sébastien Pérez-Duarte & Ian M. Schmutte, 2018. "Sorting Between and Within Industries: A Testable Model of Assortative Matching," Annals of Economics and Statistics, GENES, issue 129, pages 1-32. citation courtesy of