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A Formal Test of Assortative Matching in the Labor Market


John M. Abowd


Cornell University Department of Economics; Labor Dynamics Institute; School of Industrial and Labor Relations; National Bureau of Economic Research (NBER); CREST; Institute for the Study of Labor (IZA)

Francis Kramarz


National Institute of Statistics and Economic Studies (INSEE) - Center for Research in Economics and Statistics (CREST); Institute for the Study of Labor (IZA); Centre for Economic Policy Research (CEPR)

Sebastien Perez-Duarte


European Central Bank (ECB); National Institute of Statistics and Economic Studies (INSEE) - Center for Research in Economics and Statistics (CREST)

Ian Schmutte


University of Georgia - C. Herman and Mary Virginia Terry College of Business - Department of Economics

November 1, 2009

US Census Bureau Center for Economic Studies Paper No. CES-WP- 09-40

Abstract:     
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 advantage in the labor market. Our estimates suggest that this finding actually results from a lack of sufficient heterogeneity in the workforce and available jobs. Workers do sort into jobs on the basis of productive differences, but the effects of sorting are not visible because of the composition of workers and employers.

Number of Pages in PDF File: 40

JEL Classification: J31, J21, E24

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Date posted: December 1, 2009  

Suggested Citation

Abowd, John M., Kramarz, Francis, Perez-Duarte, Sebastien and Schmutte, Ian, A Formal Test of Assortative Matching in the Labor Market (November 1, 2009). US Census Bureau Center for Economic Studies Paper No. CES-WP- 09-40. Available at SSRN: http://ssrn.com/abstract=1515695 or http://dx.doi.org/10.2139/ssrn.1515695

Contact Information

John Maron Abowd
Cornell University Department of Economics ( email )
261 Ives Hall
Ithaca, NY 14853-3901
United States
Labor Dynamics Institute ( email ) ( email )
Ithaca, NY 14853-3901
United States
HOME PAGE: http://www.ilr.cornell.edu/LDI/
School of Industrial and Labor Relations ( email ) ( email )
Ithaca, NY 14853-3901
United States
HOME PAGE: http://www.ilr.cornell.edu/LDI/
National Bureau of Economic Research (NBER) ( email )
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
607-255-8024 (Phone)
607-255-4496 (Fax)
CREST ( email )
92245 Malakoff Cedex
France
HOME PAGE: http://www.crest.fr/
Institute for the Study of Labor (IZA)
P.O. Box 7240
Bonn, D-53072
Germany
Francis Kramarz
National Institute of Statistics and Economic Studies (INSEE) - Center for Research in Economics and Statistics (CREST) ( email )
15 Boulevard Gabriel Peri
92245 Malakoff Cedex
France
+33 1 4117 6033 (Phone)
+33 1 4117 6046 (Fax)
Institute for the Study of Labor (IZA)
P.O. Box 7240
Bonn, D-53072
Germany
Centre for Economic Policy Research (CEPR)
77 Bastwick Street
London, EC1V 3PZ
United Kingdom
Sebastien Perez-Duarte
European Central Bank (ECB) ( email )
Kaiserstrasse 29
Frankfurt am Main, D-60311
Germany
National Institute of Statistics and Economic Studies (INSEE) - Center for Research in Economics and Statistics (CREST) ( email )
15 Boulevard Gabriel Peri
92245 Malakoff Cedex
France
Ian Schmutte (Contact Author)
University of Georgia - C. Herman and Mary Virginia Terry College of Business - Department of Economics ( email )
Athens, GA 30602-6254
United States
HOME PAGE: http://schmutte.myweb.uga.edu
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