IDEAS home Printed from https://ideas.repec.org/a/eee/ehbiol/v56y2025ics1570677x25000048.html
   My bibliography  Save this article

The gender wage gap across life: Effects of genetic predisposition towards higher educational attainment

Author

Listed:
  • Bryson, Alex
  • Morris, Tim
  • Bann, David
  • Wilkinson, David

Abstract

Using two polygenic scores (PGS) for educational attainment in a biomedical study of all those born in a single week in Great Britain in 1958 we show that the genetic predisposition for educational attainment is associated with labour market participation and wages over the life-course for men and women. Those with a higher PGS spend more time in employment and full-time employment and, when in employment, earn higher hourly wages. The employment associations are four times larger for women than for men. Conditional on employment, the PGS wage associations are sizeable, persistent and similar for men and women through to age 55. A one standard deviation increase in the PGS is associated with a 5–10 log point increase in hourly earnings. The size of the association is a little smaller for men aged 23. These associations are robust to non-random selection into employment and to controls for parental education. Between one-quarter and one-half of the PGS association with time in employment, and one-third to one-half of the PGS association with earnings, are mediated via educational attainment. Our results suggest that genetic endowments of a cohort born a half century ago continued to play a significant role in their fortunes in the labor market of the 21st Century.

Suggested Citation

  • Bryson, Alex & Morris, Tim & Bann, David & Wilkinson, David, 2025. "The gender wage gap across life: Effects of genetic predisposition towards higher educational attainment," Economics & Human Biology, Elsevier, vol. 56(C).
  • Handle: RePEc:eee:ehbiol:v:56:y:2025:i:c:s1570677x25000048
    DOI: 10.1016/j.ehb.2025.101471
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1570677X25000048
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ehb.2025.101471?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    gender wage gap; employment; educational attainment; polygenic score; National Child Development Study;
    All these keywords.

    JEL classification:

    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:eee:ehbiol:v:56:y:2025:i:c:s1570677x25000048. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622964 .

    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.