University of Illinois Urbana-Champaign

Income Inequality and Wage Differentials: A Quantile Regression Approach

Guimaraes, Juliana Ferraz

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Description

Title
Income Inequality and Wage Differentials: A Quantile Regression Approach
Author(s)
Guimaraes, Juliana Ferraz
Issue Date
2001
Doctoral Committee Chair(s)
Kevin F. Hallock
Department of Study
Economics
Discipline
Economics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Women's Studies
Language
eng
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.
Graduation Semester
2001
Type of Resource
text
Permalink
http://hdl.handle.net/2142/85508

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