IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/111872.html
   My bibliography  Save this paper

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

Author

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

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

  • Burkhauser, Richard V. & Hérault, Nicolas & Jenkins, Stephen P. & Wilkins, Roger, 2023. "What accounts for the rising share of women in the top 1 percent?," LSE Research Online Documents on Economics 111872, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:111872
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/111872/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2011. "Top Incomes in the Long Run of History," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 3-71, March.
    2. Anthony B. Atkinson & Alessandra Casarico & Sarah Voitchovsky, 2018. "Top incomes and the gender divide," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(2), pages 225-256, June.
    3. Stephen P. Jenkins, 2017. "Pareto Models, Top Incomes and Recent Trends in UK Income Inequality," Economica, London School of Economics and Political Science, vol. 84(334), pages 261-289, April.
    4. Brian Bell & John Reenen, 2014. "Bankers and Their Bonuses," Economic Journal, Royal Economic Society, vol. 124(574), pages 1-21, February.
    5. Mark B. Stewart, 2011. "The Changing Picture of Earnings Inequality in Britain and the Role of Regional and Sectoral Differences," National Institute Economic Review, National Institute of Economic and Social Research, vol. 218(1), pages 20-32, October.
    6. Roman Bobilev & Anne Boschini & Jesper Roine, 2020. "Women in the Top of the Income Distribution: What Can We Learn From LIS-Data?," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 6(1), pages 63-107, March.
    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.
    8. Stewart, Mark B., 2011. "The Changing Picture of Earnings Inequality in Britain and the Role of Regional and Sectoral Differences," National Institute Economic Review, National Institute of Economic and Social Research, vol. 218, pages 20-32, October.
    9. Yun, Myeong-Su, 2004. "Decomposing differences in the first moment," Economics Letters, Elsevier, vol. 82(2), pages 275-280, February.
    10. Anton Korinek & Johan Mistiaen & Martin Ravallion, 2006. "Survey nonresponse and the distribution of income," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(1), pages 33-55, April.
    11. Richard V Burkhauser & Nicolas Hérault & Stephen P Jenkins & Roger Wilkins, 2018. "Top incomes and inequality in the UK: reconciling estimates from household survey and tax return data," Oxford Economic Papers, Oxford University Press, vol. 70(2), pages 301-326.
    12. Boschini, Anne & Gunnarsson, Kristin & Roine, Jesper, 2020. "Women in top incomes – Evidence from Sweden 1971–2017," Journal of Public Economics, Elsevier, vol. 181(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Burkhauser, Richard V. & Hérault, Nicolas & Jenkins, Stephen P. & Wilkins, Roger, 2020. "What accounts for the rising share of women in the top 1%?," GLO Discussion Paper Series 575, Global Labor Organization (GLO).
    2. Stephen P. Jenkins, 2022. "Top-income adjustments and official statistics on income distribution: the case of the UK," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 151-168, March.
    3. Burdín, Gabriel & De Rosa, Mauricio & Vigorito, Andrea & Vilá, Joan, 2022. "Falling inequality and the growing capital income share: Reconciling divergent trends in survey and tax data," World Development, Elsevier, vol. 152(C).
    4. Bartels, Charlotte & Waldenström, Daniel, 2021. "Inequality and top incomes," GLO Discussion Paper Series 959, Global Labor Organization (GLO).
    5. Martin Ravallion, 2022. "Missing Top Income Recipients," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 205-222, March.
    6. Nora Lustig, 2019. "The “Missing Rich” in Household Surveys: Causes and Correction Approaches," Commitment to Equity (CEQ) Working Paper Series 75, Tulane University, Department of Economics.
    7. Nora Lustig, 2020. "The ``missing rich'' in household surveys: causes and correction approaches," Working Papers 520, ECINEQ, Society for the Study of Economic Inequality.
    8. Pablo Gutiérrez Cubillos, 2022. "Gini and undercoverage at the upper tail: a simple approximation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(2), pages 443-471, April.
    9. Advani, Arun, 2021. "Missing Incomes in the UK : Evidence and Policy Implications," The Warwick Economics Research Paper Series (TWERPS) 1364, University of Warwick, Department of Economics.
    10. Vladimir Hlasny & Paolo Verme, 2018. "Top Incomes and Inequality Measurement: A Comparative Analysis of Correction Methods Using the EU SILC Data," Econometrics, MDPI, vol. 6(2), pages 1-21, June.
    11. Thomas Blanchet & Ignacio Flores & Marc Morgan, 2022. "The weight of the rich: improving surveys using tax data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 119-150, March.
    12. Frank Cowell & Emmanuel Flachaire, 2021. "Inequality Measurement: Methods and Data," Post-Print hal-03589066, HAL.
    13. Arthur Charpentier & Emmanuel Flachaire, 2022. "Pareto models for top incomes and wealth," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 1-25, March.
    14. Dominic Webber & Richard Tonkin & Martin Shine, 2020. "Using Tax Data to Better Capture Top Incomes in Official UK Income Inequality Statistics," NBER Chapters, in: Measuring Distribution and Mobility of Income and Wealth, pages 679-700, National Bureau of Economic Research, Inc.
    15. Vladimir Hlasny, 2019. "Redistributive Impacts of Fiscal Policies in Mexico: Corrections for Top Income Measurement Problems," LIS Working papers 765, LIS Cross-National Data Center in Luxembourg.
    16. Arun Advani & George Bangham & Jack Leslie, 2021. "The UK's wealth distribution and characteristics of high‐wealth households," Fiscal Studies, John Wiley & Sons, vol. 42(3-4), pages 397-430, September.
    17. Lidia Ceriani & Paolo Verme, 2022. "Population Changes and the Measurement of Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(2), pages 549-575, July.
    18. Nishant Yonzan & Branko Milanovic & Salvatore Morelli & Janet Gornick, 2022. "Drawing a Line: Comparing the Estimation of Top Incomes between Tax Data and Household Survey Data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(1), pages 67-95, March.
    19. Niels-Jakob Harbo Hansen & Karl Harmenberg & Erik Öberg & Hans Henrik Sievertsen, 2021. "Gender disparities in top earnings: measurement and facts for Denmark 1980-2013," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(2), pages 347-362, June.
    20. Advani, Arun & Koenig, Felix & Pessina, Lorenzo & Summers, Andy, 2020. "Importing Inequality: Immigration and the Top 1 Percent," IZA Discussion Papers 13731, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    top 1%; top incomes; inequality; gender differences; survey under-coverage;
    All these keywords.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ehl:lserod:111872. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.