Ian M. Schmutte
Department of Economics
Terry College of Business
University of Georgia
Athens, GA 30602
Institutional Affiliation: University of Georgia
Information about this author at RePEc
NBER Working Papers and Publications
|September 2014||Sorting Between and Within Industries: A Testable Model of Assortative Matching|
with John M. Abowd, Francis Kramarz, Sébastien Pérez-Duarte: w20472
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.
Published: 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
|November 2009||A Formal Test of Assortative Matching in the Labor Market|
with John M. Abowd, Francis Kramarz, Sébastien Pérez-Duarte: w15546
We estimate a structural model of job assignment in the presence of coordination frictions due to Shimer (2005). The coordination friction model places restrictions on the joint distribution of worker and firm effects from a linear decomposition of log labor earnings. These restrictions permit estimation of the unobservable ability and productivity differences between workers and their employers as well as the way workers sort into jobs on the basis of these unobservable factors. The estimation is performed on matched employer-employee data from the LEHD program of the U.S. Census Bureau. The estimated correlation between worker and firm effects from the earnings decomposition is close to zero, a finding that is often interpreted as evidence that there is no sorting by comparative advantag...