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Title:Income Inequality and Wage Differentials: A Quantile Regression Approach
Author(s):Guimaraes, Juliana Ferraz
Doctoral Committee Chair(s):Kevin F. Hallock
Department / Program:Economics
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Women's Studies
Abstract:The third chapter provides a descriptive analysis of the gender wage gap using quantile regression. Many studies have examined the gender wage gap in the United States but this is the first to provide systematic analysis of the gender wage gap using quantile regression over time. Using data from both the March Current Population Survey (CPS) and the Outgoing Rotation Group files of the CPS, I find a narrowing of the gender wage gap over time. Furthermore there is a great deal of heterogeneity across quantiles of the conditional wage distribution of wages by gender. Although the gender pay gap has declined dramatically in recent decades, not all women gained form this change equally.
Issue Date:2001
Description:144 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.
Other Identifier(s):(MiAaPQ)AAI3023066
Date Available in IDEALS:2015-09-25
Date Deposited:2001

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