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What accounts for the rising share of women in the top 1 percent

Burkhauser, Richard V., Hérault, Nicolas, Jenkins, Stephen P. ORCID: 0000-0002-8305-9774 and Wilkins, Roger (2021) What accounts for the rising share of women in the top 1 percent. Review of Income and Wealth. ISSN 0034-6586

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Identification Number: 10.1111/roiw.12548

Abstract

The share of women in the top 1 percent of the UK’s income distribution has been growing over the last two decades (as in several other countries). Our first contribution is to account for this trend using regressions of the probability of being in the top 1 percent, fitted separately for men and women, in order to contrast between the sexes the role of changes in characteristics and changes in returns to characteristics. We show that the rise of women in the top 1 percent is primarily accounted for by their greater increases in the number of years spent in full-time education. Although most top income analysis uses tax return data, we derive our findings taking advantage of the much more extensive information about personal characteristics that is available in survey data. Our use of survey data requires justification given survey under-coverage of top incomes. Providing this justification is our second contribution.

Item Type: Article
Official URL: https://onlinelibrary.wiley.com/journal/14754991
Additional Information: © 2021 International Association for Research in Income and Wealth
Divisions: Social Policy
Subjects: H Social Sciences > HQ The family. Marriage. Woman
H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HC Economic History and Conditions
JEL classification: D - Microeconomics > D3 - Distribution > D31 - Personal Income, Wealth, and Their Distributions
J - Labor and Demographic Economics > J1 - Demographic Economics > J16 - Economics of Gender; Non-labor Discrimination
C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology; Computer Programs > C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data
Date Deposited: 08 Sep 2021 09:33
Last Modified: 21 Mar 2022 08:42
URI: http://eprints.lse.ac.uk/id/eprint/111872

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