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Economic Background and Educational Attainment: The Role of Gene-Environment Interactions

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  • Owen Thompson

Abstract

On average, children from less economically privileged households have lower levels of educational attainment than their higher-income peers, and this association has important implications for intergenerational mobility and equality of opportunity. This paper shows that the income-education association varies greatly across groups of children with different versions of a specific gene, monoamine-oxidase A (MAOA), which impacts neurotransmitter activity. For children with one MAOA variant, increases in household income have the expected positive association with education. For children with another variant, who comprise over half of the population, this relationship is much weaker. These results hold when the interactive effects are identified using genetic variation between full biological siblings, which genetic principles assert is as good as randomly assigned.

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  • Owen Thompson, 2014. "Economic Background and Educational Attainment: The Role of Gene-Environment Interactions," Journal of Human Resources, University of Wisconsin Press, vol. 49(2), pages 263-294.
  • Handle: RePEc:uwp:jhriss:v:49:y:2014:ii:1:p:263-294
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    Cited by:

    1. Nicholas W Papageorge & Kevin Thom, 2020. "Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study," Journal of the European Economic Association, European Economic Association, vol. 18(3), pages 1351-1399.
    2. Pehkonen, Jaakko & Viinikainen, Jutta & Böckerman, Petri & Lehtimäki, Terho & Pitkänen, Niina & Raitakari, Olli, 2017. "Genetic endowments, parental resources and adult health: Evidence from the Young Finns Study," Social Science & Medicine, Elsevier, vol. 188(C), pages 191-200.
    3. Barth, Daniel & Papageorge, Nicholas W. & Thom, Kevin, 2017. "Genetic Ability, Wealth, and Financial Decision-Making," IZA Discussion Papers 10567, Institute of Labor Economics (IZA).
    4. Steven F. Lehrer & Weili Ding, 2017. "Are genetic markers of interest for economic research?," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-23, December.
    5. Goel, Deepti & Barooah, Bidisha, 2018. "Drivers of Student Performance: Evidence from Higher Secondary Public Schools in Delhi," GLO Discussion Paper Series 231, Global Labor Organization (GLO).
    6. Rauscher, Emily, 2017. "Plastic and Immobile," OSF Preprints cjweu, Center for Open Science.
    7. Shinsuke Asakawa, 2020. "Can Child Benefits Shape Parents' Attitudes toward Childrearing in Japan?: Effects of Child Benefit Policy Expansions," Discussion Papers in Economics and Business 19-04-Rev.2, Osaka University, Graduate School of Economics.
    8. Justin Cook, C. & Fletcher, Jason M., 2015. "Understanding heterogeneity in the effects of birth weight on adult cognition and wages," Journal of Health Economics, Elsevier, vol. 41(C), pages 107-116.
    9. Susnaningsih Muat & Nurul Shahnaz Mahdzan & Mohd Edil Abd Sukor, 2024. "What shapes the financial capabilities of young adults in the US and Asia-Pacific region? A systematic literature review," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    10. Jason M. Fletcher, 2019. "Environmental bottlenecks in children’s genetic potential for adult socio-economic attainments: Evidence from a health shock," Population Studies, Taylor & Francis Journals, vol. 73(1), pages 139-148, January.
    11. Amin, Vikesh & Dunn, Paul & Spector, Tim, 2018. "Does education attenuate the genetic risk of obesity? Evidence from U.K. Twins," Economics & Human Biology, Elsevier, vol. 31(C), pages 200-208.

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