Author
Listed:
- Delaney, Judith
- Devereux, Paul J.
Abstract
We use population-level administrative data covering secondary school students in England to study how mathematical and verbal skills shape education and labour market outcomes. Following cohorts completing national exams at age 16 through higher education and into employment until age 34, we show that mathematics and verbal skills operate through fundamentally different pathways. Verbal skills strongly predict educational attainment — including college enrolment, graduation, and postgraduate study — while mathematics skills generate substantially larger earnings returns. At ages 30–34, moving from the 25th to the 75th percentile of the mathematics skill distribution is associated with 29% higher earnings, compared with 14% for verbal. This divergence operates partly through field-of-study choice: individuals with stronger verbal skills disproportionately select into fields with higher graduation rates but lower earnings returns, while those with stronger mathematics skills enter STEM and other high-paying majors. Gender differences in skills explain the female advantage in college attendance and part of the STEM gap but have little effect on the gender earnings gap due to offsetting effects across these pathways: women's verbal advantage facilitates educational access but also steers them toward lower-return fields.
Suggested Citation
Delaney, Judith & Devereux, Paul J., 2026.
"The Math-Verbal Divide: Unequal Returns to Cognitive Skills in Education and Work,"
CEPR Discussion Papers
21388, C.E.P.R. Discussion Papers.
Handle:
RePEc:cpr:ceprdp:21388
Download full text from publisher
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:cpr:ceprdp:21388. 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: CEPR (email available below). General contact details of provider: https://cepr.org/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.