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

Working Paper: NBER ID: w20472

Authors: John M. Abowd; Francis Kramarz; Sébastien Pérez-Duarte; Ian M. Schmutte

Abstract: 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.

Keywords: assortative matching; labor market sorting; vacancy rates; wage heterogeneity

JEL Codes: C1; E24; J24; J31


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
industries serve as loci of sorting (L00)more productive workers are employed in more productive industries (J29)
positive assortative matching occurs (C78)more productive workers are employed in more productive industries (J29)
unobservable differences in worker productivity are positively correlated with unobservable differences in firm productivity (D29)more productive workers are employed in more productive industries (J29)
observed correlation between worker and employer effects understates the true extent of assortative matching (J79)more productive workers are employed in more productive industries (J29)
sorting is interpreted as a between-industry phenomenon (L16)more productive workers are employed in more productive industries (J29)
more productive workers are positively sorted to more productive employers (J29)interindustry wage differentials (J31)

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