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Kevin F. Hallock Guimaraes, Juliana Ferraz 2015-09-25T22:47:10Z 2015-09-25T22:47:10Z 10000-01-01 2001 2001 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. Made available in DSpace on 2015-09-25T22:47:10Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3023066.pdf: 7369362 bytes, checksum: 1758aee6cd5dd2d563a405f0416cf047 (MD5) Previous issue date: 2001 Embargo set by: Seth Robbins for item 86789 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 144 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001. http://hdl.handle.net/2142/85508 (MiAaPQ)AAI3023066 eng Women's Studies Income Inequality and Wage Differentials: A Quantile Regression Approach text Economics Economics University of Illinois at Urbana-Champaign Dissertation Ph.D.