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High-school genetic diversity and later-life student outcomes: micro-level evidence from the Wisconsin Longitudinal Study

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  • C. Justin Cook

    (University of California-Merced)

  • Jason M. Fletcher

    (University of Wisconsin-Madison)

Abstract

A novel hypothesis posits that levels of genetic diversity in a population may partially explain variation in the development and success of countries. Our paper extends evidence on this question by subjecting the hypothesis to an alternative context that eliminates many competing hypotheses. We do this by aggregating representative individual-level data for high schools from a single US state (Wisconsin) in 1957, when the population was composed nearly entirely of individuals of European ancestry. Using this sample of high school aggregations, we too find a strong association between school-level genetic diversity and a range of student socioeconomic outcomes. Our use of survey data also allows for a greater exploration into the potential mechanisms of genetic diversity. In doing so, we find positive associations between genetic diversity and indexes for openness to experience and extraversion, two personality traits tied to creativity and divergent thinking.

Suggested Citation

  • C. Justin Cook & Jason M. Fletcher, 2018. "High-school genetic diversity and later-life student outcomes: micro-level evidence from the Wisconsin Longitudinal Study," Journal of Economic Growth, Springer, vol. 23(3), pages 307-339, September.
    • Handle: RePEc:kap:jecgro:v:23:y:2018:i:3:d:10.1007_s10887-018-9157-3
    DOI: 10.1007/s10887-018-9157-3
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    Cited by:

    1. Vu, Trung V., 2021. "Do genetically fragmented societies respond less to global warming? Diversity and climate change policies," Energy Economics, Elsevier, vol. 104(C).
    2. Trung V. Vu, 2021. "Are genetic traits associated with riots? The political legacy of prehistorically determined genetic diversity," Kyklos, Wiley Blackwell, vol. 74(4), pages 567-595, November.
    3. Emilio Depetris-Chauvin & Ömer Özakz., 2018. "The Origins of the Division of Labor in Pre-modern Times," Documentos de Trabajo 511, Instituto de Economia. Pontificia Universidad Católica de Chile..
    4. Quamrul H. Ashraf & Oded Galor & Marc Klemp, 2020. "The Ancient Origins of the Wealth of Nations," Working Papers 2020-22, Brown University, Department of Economics.
    5. Tang, Chenghui & Qiu, Peng & Dou, Jianmin, 2022. "The impact of borders and distance on knowledge spillovers — Evidence from cross-regional scientific and technological collaboration," Technology in Society, Elsevier, vol. 70(C).
    6. Fabio Mariani & Marion Mercier & Luca Pensieroso, 2023. "Left-handedness and economic development," Journal of Economic Growth, Springer, vol. 28(1), pages 79-123, March.
    7. Emilio Depetris-Chauvin & Ömer Özak, 2020. "The origins of the division of labor in pre-industrial times," Journal of Economic Growth, Springer, vol. 25(3), pages 297-340, September.
    8. Quamrul H. Ashraf & Oded Galor & Marc Klemp, 2018. "Interpersonal Diversity and Socioeconomic Disparities Across Populations: A Reply to Rosenberg and Kang," Working Papers 2018-14, Brown University, Department of Economics.
    9. Quamrul H. Ashraf & Oded Galor & Marc Klemp, 2018. "The Out of Africa Hypothesis of Comparative Economic Development: Common Misconceptions," Working Papers 2018-13, Brown University, Department of Economics.
    10. Ciarán Murphy, 2022. "The Effect of School Diversity on Academic Performance," Economics Department Working Paper Series n318-22.pdf, Department of Economics, National University of Ireland - Maynooth.
    11. Klemp, Marc & Ashraf, Quamrul & Galor, Oded, 2020. "The Ancient Origins of the Wealth of Nations," CEPR Discussion Papers 15345, C.E.P.R. Discussion Papers.
    12. Quamrul H. Ashraf & Oded Galor & Marc Klemp, 2018. "The Out of Africa Hypothesis of Comparative Economic Development: Common Misconceptions," Working Papers 2018-13, Brown University, Department of Economics.

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    More about this item

    Keywords

    Genetic diversity; Years of schooling; Income; Personality; Survey data;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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