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What Accounts for the Rising Share of Women in the Top 1 percent?

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Listed:
  • Richard V. Burkhauser
  • Nicolas Herault
  • Stephen P. Jenkins
  • Roger Wilkins

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.

Suggested Citation

  • Richard V. Burkhauser & Nicolas Herault & Stephen P. Jenkins & Roger Wilkins, 2023. "What Accounts for the Rising Share of Women in the Top 1 percent?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(1), pages 1-33, March.
    • Handle: RePEc:bla:revinw:v:69:y:2023:i:1:p:1-33
    DOI: 10.1111/roiw.12548
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    References listed on IDEAS

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    7. Richard V. Burkhauser & Nicolas Hérault & Stephen P. Jenkins & Roger Wilkins, 2018. "Survey Under‐Coverage of Top Incomes and Estimation of Inequality: What is the Role of the UK's SPI Adjustment?," Fiscal Studies, John Wiley & Sons, vol. 39(2), pages 213-240, June.
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    More about this item

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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