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Cognitive Dominance in U.S. Labor Markets: Harmonizing Task Intensities, 1980–2014

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  • Garcia-Couto, Santiago

Abstract

This paper constructs harmonized, multi-dimensional measures of occupational task intensities for the United States from 1980-2014 by reconciling the Dictionary of Occupational Titles and O*NET. The resulting indices allow task intensities to vary within occupations over time and are linked to Census and ACS microdata. I document a pronounced rise in the importance of cognitive tasks -"cognitive dominance"- driven by both increasing task intensity and higher associated wage gradients. This mechanism helps explain three major labor-market trends: wage polarization, the rising college wage premium, and the narrowing gender wage gap, with most task changes occurring within occupations.

Suggested Citation

  • Garcia-Couto, Santiago, 2025. "Cognitive Dominance in U.S. Labor Markets: Harmonizing Task Intensities, 1980–2014," SocArXiv bcyk6_v1, Center for Open Science.
  • Handle: RePEc:osf:socarx:bcyk6_v1
    DOI: 10.31219/osf.io/bcyk6_v1
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    References listed on IDEAS

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    1. Edward W. Felten & Manav Raj & Robert Seamans, 2018. "A Method to Link Advances in Artificial Intelligence to Occupational Abilities," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 54-57, May.
    2. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
    3. Paul Beaudry & David A. Green & Benjamin M. Sand, 2016. "The Great Reversal in the Demand for Skill and Cognitive Tasks," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 199-247.
    4. Brad Hershbein & Lisa B. Kahn, 2018. "Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings," American Economic Review, American Economic Association, vol. 108(7), pages 1737-1772, July.
    5. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
    6. David Deming & Lisa B. Kahn, 2018. "Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 337-369.
    7. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
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