Decomposing the Sources of Earnings Inequality: Assessing the Role of Reallocation

43 Pages Posted: 17 Dec 2011

See all articles by Fredrik Andersson

Fredrik Andersson

Office of the Comptroller of the Currency (OCC)

Elizabeth E. Davis

University of Minnesota - Department of Applied Economics

Matthew Freedman

University of California, Irvine - Department of Economics

Julia Lane

Institute for the Study of Labor (IZA); Wagner Graduate School of Public Service

Brian P. McCall

University of Minnesota - Twin Cities - Carlson School of Management

Lee Kristin Sandusky

U.S. Census Bureau

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Abstract

This paper exploits longitudinal employer-employee matched data from the U.S. Census Bureau to investigate the contribution of worker and firm reallocation to changes in earnings inequality within and across industries between 1992 and 2003. We find that factors that cannot be measured using standard cross-sectional data, including the entry and exit of firms and the sorting of workers across firms, are important sources of changes in earnings distributions over time. Our results also suggest that the dynamics driving changes in earnings inequality are heterogeneous across industries.

Keywords: inequality, linked employer-employee data, sorting

JEL Classification: J0, J30

Suggested Citation

Andersson, Per Fredrik Daniel and Davis, Elizabeth E. and Freedman, Matthew and Lane, Julia and Lane, Julia and McCall, Brian P. and Sandusky, Lee Kristin, Decomposing the Sources of Earnings Inequality: Assessing the Role of Reallocation. IZA Discussion Paper No. 6182, Available at SSRN: https://ssrn.com/abstract=1973911 or http://dx.doi.org/10.2139/ssrn.1973911

Per Fredrik Daniel Andersson (Contact Author)

Office of the Comptroller of the Currency (OCC) ( email )

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Elizabeth E. Davis

University of Minnesota - Department of Applied Economics ( email )

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Matthew Freedman

University of California, Irvine - Department of Economics ( email )

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Julia Lane

Institute for the Study of Labor (IZA) ( email )

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Wagner Graduate School of Public Service ( email )

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Brian P. McCall

University of Minnesota - Twin Cities - Carlson School of Management ( email )

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Lee Kristin Sandusky

U.S. Census Bureau ( email )

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Washington, DC 20233
United States

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