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What is the role for molecular genetic data in public policy?

Author

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  • Steven F. Lehrer

    (Queen’s University, Canada, NYU Shanghai, China, and NBER, USA)

  • Weili Ding

    (Queen’s University, Canada, and NYU Shanghai, China)

Abstract

Both the availability and sheer volume of data sets containing individual molecular genetic information are growing at a rapid pace. Many argue that these data can facilitate the identification of genes underlying important socio-economic outcomes, such as educational attainment and fertility. Opponents often counter that the benefits are as yet unclear, and that the threat to individual privacy is a serious one. The initial exploration presented herein suggests that significant benefits to the understanding of socio-economic outcomes and the design of both social and education policy may be gained by effectively and safely utilizing genetic data.

Suggested Citation

  • Steven F. Lehrer & Weili Ding, 2017. "What is the role for molecular genetic data in public policy?," IZA World of Labor, Institute of Labor Economics (IZA), pages 395-395, October.
    • Handle: RePEc:iza:izawol:journl:y:2017:n:395
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    References listed on IDEAS

    as
    1. Fletcher, Jason M. & Lehrer, Steven F., 2011. "Genetic lotteries within families," Journal of Health Economics, Elsevier, vol. 30(4), pages 647-659, July.
    2. Ding, Weili & Lehrer, Steven F. & Rosenquist, J.Niels & Audrain-McGovern, Janet, 2009. "The impact of poor health on academic performance: New evidence using genetic markers," Journal of Health Economics, Elsevier, vol. 28(3), pages 578-597, May.
    3. 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.
    4. Fletcher Jason M. & Lehrer Steven F, 2009. "The Effects of Adolescent Health on Educational Outcomes: Causal Evidence Using Genetic Lotteries between Siblings," Forum for Health Economics & Policy, De Gruyter, vol. 12(2), pages 1-33, September.
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    Cited by:

    1. Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2019. "Sibling Differences in Educational Polygenic Scores: How Do Parents React?," IZA Discussion Papers 12375, Institute of Labor Economics (IZA).
    2. Brunello, Giorgio & Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2020. "Not only in my genes: The effects of peers’ genotype on obesity," Journal of Health Economics, Elsevier, vol. 72(C).
    3. Pankaj C. Patel & Cornelius A. Rietveld & Ingrid Verheul, 2021. "Attention Deficit Hyperactivity Disorder (ADHD) and Earnings in Later-Life Self-Employment," Entrepreneurship Theory and Practice, , vol. 45(1), pages 43-63, January.

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