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Math Skills and Labor-Market Outcomes: Evidence from a Resume-Based Field Experiment

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Abstract

We examine the link between math skills and labor-market outcomes using a resume-based field experiment. Specifically, we send fictitious resumes in response to online job postings, randomly assigning some resumes to indicate stronger math skills, and measure employer responses. The resumes that are randomly assigned to indicate stronger math skills receive more interest from employers than the comparison resumes. Our findings add to the body of evidence showing that stronger math skills positively affect labor-market outcomes.

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  • Cory Koedel & Eric Tyhurst, 2010. "Math Skills and Labor-Market Outcomes: Evidence from a Resume-Based Field Experiment," Working Papers 1013, Department of Economics, University of Missouri, revised 31 May 2011.
    • Handle: RePEc:umc:wpaper:1013
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    Cited by:

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    2. Torberg Falch & Ole Henning Nyhus & Bjarne Strøm, 2014. "Performance of Young Adults: The Importance of Different Skills," CESifo Economic Studies, CESifo Group, vol. 60(2), pages 435-462.
    3. Hinrichs, Peter, 2021. "What kind of teachers are schools looking for? Evidence from a randomized field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 395-411.
    4. Piopiunik, Marc & Schwerdt, Guido & Simon, Lisa & Woessmann, Ludger, 2020. "Skills, signals, and employability: An experimental investigation," European Economic Review, Elsevier, vol. 123(C).
    5. Mahdi Gholami & Samuel Muehlemann, 2024. "Mastering Math: A Gateway to Better Firms and Higher Earnings," Economics of Education Working Paper Series 0212, University of Zurich, Department of Business Administration (IBW), revised May 2024.
    6. Brandts, Jordi & Gërxhani, Klarita & Schram, Arthur, 2020. "Are there gender differences in status-ranking aversion?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 84(C).
    7. Doris, Aedín & O’Neill, Donal & Sweetman, Olive, 2013. "Gender, single-sex schooling and maths achievement," Economics of Education Review, Elsevier, vol. 35(C), pages 104-119.
    8. Brown, Martin & Kirschenmann, Karolin & Spycher, Thomas, 2017. "Numeracy and the quality of on-the-job decisions: Evidence from loan officers," ZEW Discussion Papers 17-026, ZEW - Leibniz Centre for European Economic Research.
    9. Marta De Philippis, 2023. "STEM Graduates and Secondary School Curriculum: Does Early Exposure to Science Matter?," Journal of Human Resources, University of Wisconsin Press, vol. 58(6), pages 1914-1947.
    10. Jordi Brandts & Klarita Gërxhani & Arthur Schram, 2017. "Are Women Status-Ranking Averse?," Working Papers 999, Barcelona School of Economics.
    11. Lounkaew, Kiatanantha, 2013. "Explaining urban–rural differences in educational achievement in Thailand: Evidence from PISA literacy data," Economics of Education Review, Elsevier, vol. 37(C), pages 213-225.
    12. Arthur Schram & Jordi Brandts & Klarita Gërxhani, 2019. "Social-status ranking: a hidden channel to gender inequality under competition," Experimental Economics, Springer;Economic Science Association, vol. 22(2), pages 396-418, June.
    13. Salim Atay & Gunes A. Asik & Semih Tumen, 2024. "Impact of Graduating with Honours on Entry Wages of Economics Majors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(3), pages 606-640, June.
    14. Hemelt, Steven W. & Lenard, Matthew A., 2020. "Math acceleration in elementary school: Access and effects on student outcomes," Economics of Education Review, Elsevier, vol. 74(C).
    15. Falch, Torberg & Nyhus, Ole Henning & Strøm, Bjarne, 2014. "Causal effects of mathematics," Labour Economics, Elsevier, vol. 31(C), pages 174-187.
    16. Lisa Simon, 2019. "Microeconometric Analyses on Determinants of Individual Labour Market Outcomes," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 83.

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    More about this item

    Keywords

    Math skills; math skills and employment; math skills field experiment; math skills resume experiment.;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • I20 - Health, Education, and Welfare - - Education - - - General

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