Data and code for "Is the Gender Pay Gap Largest at the Top?"
Principal Investigator(s): View help for Principal Investigator(s) Ariel Binder, U.S. Census Bureau; Amanda Eng, U.S. Census Bureau; Kendall Houghton, U.S. Census Bureau; Andrew Foote, U.S. Census Bureau
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
|---|---|---|---|
| PNP_REP | 05/16/2024 01:19:PM |
Project Citation:
Binder, Ariel, Eng, Amanda, Houghton, Kendall, and Foote, Andrew. Data and code for “Is the Gender Pay Gap Largest at the Top?” Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-05-28. https://doi.org/10.3886/E202963V1
Project Description
Summary:
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Is the gender pay gap largest at the top? No:
it is at least as large at bottom percentiles of the earnings distribution. Conditional
quantile regressions reveal that while the gap at top percentiles is largest
among the most-educated, the gap at bottom percentiles is largest among the
least-educated. Gender differences in work hours create more pay inequality
among the least-educated than they do among the most-educated. The pay gap has declined
throughout the distribution since 2006, but it declined more for the
most-educated women. Current economics-of-gender research focuses heavily on
the top end; equal emphasis should be placed on mechanisms driving gender inequality
for noncollege-educated workers.
Scope of Project
JEL Classification:
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I24 Education and Inequality
J16 Economics of Gender; Non-labor Discrimination
J31 Wage Level and Structure; Wage Differentials
I24 Education and Inequality
J16 Economics of Gender; Non-labor Discrimination
J31 Wage Level and Structure; Wage Differentials
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