Sorting Between and Within Industries: A Testable Model of Assortative Matching

Estimated

Suggested Citation

Abowd, John M., Francis Kramarz, Sebastian Perez-Duarte, and Ian M. Schmutte (2018) "Sorting Between and Within Industries: A Testable Model of Assortative Matching." Annals of Economics and Statistics, vol. 129, pp. 1-32.

Data archive (via Open ICPSR).

Abstract

We test Shimer’s (2005) theory of the sorting of workers between and within industrial sectors based on directed search with coordination frictions, deliberately maintaining its static general equilibrium framework. We fit the model to sector-specific wage, vacancy and output data, including 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 that strong assortative matching can be present even when worker and employer components of wage heterogeneity are weakly correlated.