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Connecting higher education to workplace activities and earnings

Author

Listed:
  • Chau, Hung
  • Bana, Sarah H.
  • Bouvier, Baptiste
  • Frank, Morgan R.

Abstract

Higher education is a source of skill acquisition for many middle- and high-skilled jobs. But what specific skills do universities impart on students to prepare them for desirable careers? In this study, we analyze a large novel corpora of over one million syllabi from over eight hundred bachelors’ granting US educational institutions to connect material taught in higher education to the detailed work activities in the US economy as reported by the US Department of Labor. First, we show how differences in taught skills both within and between college majors correspond to earnings differences of recent graduates. Further, we use the co-occurrence of taught skills across all of academia to predict the skills that will be taught in a major moving forward. Our unified information system connecting workplace skills to the skills taught during higher education can improve the workforce development of high-skilled workers, inform educational programs of future trends, and enable employers to quantify the skills of potential workers.

Suggested Citation

  • Chau, Hung & Bana, Sarah H. & Bouvier, Baptiste & Frank, Morgan R., 2023. "Connecting higher education to workplace activities and earnings," LSE Research Online Documents on Economics 140587, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:140587
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    File URL: https://researchonline.lse.ac.uk/id/eprint/140587/
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    References listed on IDEAS

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    1. Eric R. Eide & Michael J. Hilmer & Mark H. Showalter, 2016. "Is It Where You Go Or What You Study? The Relative Influence Of College Selectivity And College Major On Earnings," Contemporary Economic Policy, Western Economic Association International, vol. 34(1), pages 37-46, January.
    2. Raj Chetty & John N. Friedman & Emmanuel Saez & Nicholas Turner & Danny Yagan, 2017. "Mobility Report Cards: The Role of Colleges in Intergenerational Mobility," NBER Working Papers 23618, National Bureau of Economic Research, Inc.
    3. David H. Autor, 2019. "Work of the Past, Work of the Future," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 1-32, May.
    4. Stephen Johnson, 1967. "Hierarchical clustering schemes," Psychometrika, Springer;The Psychometric Society, vol. 32(3), pages 241-254, September.
    5. Peter Arcidiacono, 2005. "Affirmative Action in Higher Education: How Do Admission and Financial Aid Rules Affect Future Earnings?," Econometrica, Econometric Society, vol. 73(5), pages 1477-1524, September.
    6. Stephanie Riegg Cellini & Nicholas Turner, 2019. "Gainfully Employed?: Assessing the Employment and Earnings of For-Profit College Students Using Administrative Data," Journal of Human Resources, University of Wisconsin Press, vol. 54(2), pages 342-370.
    7. Raj Chetty & John N Friedman & Emmanuel Saez & Nicholas Turner & Danny Yagan, 2020. "Income Segregation and Intergenerational Mobility Across Colleges in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(3), pages 1567-1633.
    8. Emile Cammeraat & Mariagrazia Squicciarini, 2021. "Burning Glass Technologies’ data use in policy-relevant analysis: An occupation-level assessment," OECD Science, Technology and Industry Working Papers 2021/05, OECD Publishing.
    9. David J Deming & Kadeem Noray, 2020. "Earnings Dynamics, Changing Job Skills, and STEM Careers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 1965-2005.
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    More about this item

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J1 - Labor and Demographic Economics - - Demographic Economics

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