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The Math-Verbal Divide: Unequal Returns to Cognitive Skills in Education and Work

Author

Listed:
  • Delaney, Judith

    (University of Bath)

  • Devereux, Paul

    (University College Dublin)

Abstract

We use population-level administrative data on secondary school students in England to examine how mathematical and verbal skills shape educational and labour market outcomes. Tracking cohorts from age 16 through higher education and into employment up to age 34, we show that these skills operate through distinct pathways. Verbal skills strongly predict educational attainment - including university enrolment, completion, and postgraduate study - while mathematical skills yield substantially larger earnings returns. At ages 30-34, moving from the 25th to the 75th percentile of the mathematics distribution is associated with 29% higher earnings, compared with 14% for verbal skills. This divergence is partly driven by field-of-study choice: individuals with stronger verbal skills are more likely to enter fields with higher completion rates but lower pay, while those with stronger mathematical skills sort into STEM and other high-paying fields. Gender differences in skills explain the female advantage in higher education and part of the STEM gap, but have limited impact on the gender earnings gap due to offsetting effects across these channels.

Suggested Citation

  • Delaney, Judith & Devereux, Paul, 2026. "The Math-Verbal Divide: Unequal Returns to Cognitive Skills in Education and Work," IZA Discussion Papers 18542, IZA Network @ LISER.
  • Handle: RePEc:iza:izadps:dp18542
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    1. Matias Busso & Sebastián Montaño & Juan Muñoz-Morales, 2025. "Unbundling returns to postsecondary degrees and skills: evidence from Colombia," Education Economics, Taylor & Francis Journals, vol. 33(1), pages 1-18, January.
    2. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    3. Josh Kinsler & Ronni Pavan, 2015. "The Specificity of General Human Capital: Evidence from College Major Choice," Journal of Labor Economics, University of Chicago Press, vol. 33(4), pages 933-972.
    4. Büchner, C.I.R. & Smits, W. & van der Velden, R.K.W., 2012. "Education, cognitive skills and earnings of males and females," ROA Research Memorandum 002, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    5. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    6. Anna Vignoles & Augustin De Coulon & Oscar Marcenaro-Gutierrez, 2011. "The value of basic skills in the British labour market," Oxford Economic Papers, Oxford University Press, vol. 63(1), pages 27-48, January.
    7. Delaney, Judith M. & Devereux, Paul J., 2019. "Understanding gender differences in STEM: Evidence from college applications✰," Economics of Education Review, Elsevier, vol. 72(C), pages 219-238.
    8. Marianne Bertrand & Claudia Goldin & Lawrence F. Katz, 2010. "Dynamics of the Gender Gap for Young Professionals in the Financial and Corporate Sectors," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 228-255, July.
    9. Gonzalo Castex & Evgenia Kogan Dechter, 2014. "The Changing Roles of Education and Ability in Wage Determination," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 685-710.
    10. Song, Moohoun & Orazem, Peter F. & Wohlgemuth, Darin, 2008. "The role of mathematical and verbal skills on the returns to graduate and professional education," Economics of Education Review, Elsevier, vol. 27(6), pages 664-675, December.
    11. Tyler, John H., 2004. "Basic skills and the earnings of dropouts," Economics of Education Review, Elsevier, vol. 23(3), pages 221-235, June.
    12. Devereux, Paul J. & Delaney, Judith, 2019. "Understanding Gender Differences in STEM: Evidence from College Applications," CEPR Discussion Papers 13558, Centre for Economic Policy Research.
    13. Hanushek, Eric A. & Schwerdt, Guido & Wiederhold, Simon & Woessmann, Ludger, 2015. "Returns to skills around the world: Evidence from PIAAC," European Economic Review, Elsevier, vol. 73(C), pages 103-130.
    14. Delaney, Judith M. & Devereux, Paul J., 2020. "Math matters! The importance of mathematical and verbal skills for degree performance," Economics Letters, Elsevier, vol. 186(C).
    15. Esteban Aucejo & Jonathan James, 2021. "The Path to College Education: The Role of Math and Verbal Skills," Journal of Political Economy, University of Chicago Press, vol. 129(10), pages 2905-2946.
    16. Arcidiacono, Peter, 2004. "Ability sorting and the returns to college major," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 343-375.
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    JEL classification:

    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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