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Are genetic markers of interest for economic research?

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  • Steven F. Lehrer

    (Queen’s University
    NYU-Shanghai
    NBER, National Bureau of Economic Research)

  • Weili Ding

    (Queen’s University
    NYU-Shanghai)

Abstract

The idea that genetic differences may explain a multitude of individual-level outcomes studied by economists is far from controversial. Since more datasets now contain measures of genetic variation, it is reasonable to postulate that incorporating genomic data in economic analyses will become more common. However, there remains much debate among academics as to, first, whether ignoring genetic differences in empirical analyses biases the resulting estimates. Second, several critics argue that since genetic characteristics are immutable, the incorporation of these variables into economic analysis will not yield much policy guidance. In this paper, we revisit these concerns and survey the main avenues by which empirically oriented economic researchers have utilized measures of genetic markers to improve our understanding of economic phenomena. We discuss the strengths, limitations, and potential of existing approaches and conclude by highlighting several prominent directions forward for future research. JEL Classification: I12, J19, I26

Suggested Citation

  • 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.
    • Handle: RePEc:spr:izalpo:v:6:y:2017:i:1:d:10.1186_s40173-017-0080-6
    DOI: 10.1186/s40173-017-0080-6
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    Cited by:

    1. 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.
    2. 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.

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    More about this item

    Keywords

    Genetic markers; Gene–environment interactions; Genome-wide association studies; Candidate genes; Genetic instruments; Within-family variation;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J19 - Labor and Demographic Economics - - Demographic Economics - - - Other
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education

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