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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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    as
    1. Anna Dreber & David Rand & Nils Wernerfelt & Justin Garcia & Miguel Vilar & J. Lum & Richard Zeckhauser, 2011. "Dopamine and risk choices in different domains: Findings among serious tournament bridge players," Journal of Risk and Uncertainty, Springer, vol. 43(1), pages 19-38, August.
    2. De Neve, Jan-Emmanuel & Fowler, James H., 2014. "Credit card borrowing and the monoamine oxidase A (MAOA) gene," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 428-439.
    3. Janet Audrain-McGovern & Steven Lehrer & J. Niles Rosenquist, 2006. "The Impact Of Poor Health On Education: New Evidence Using Genetic Markers," Working Paper 1045, Economics Department, Queen's University.
    4. Baicker, Katherine & Cutler, David M. & Song, Zirui, 2010. "Workplace Wellness Programs Can Generate Savings," Scholarly Articles 5345879, Harvard University Department of Economics.
    5. Jerry A. Hausman & Whitney K. Newey & Tiemen Woutersen & John C. Chao & Norman R. Swanson, 2012. "Instrumental variable estimation with heteroskedasticity and many instruments," Quantitative Economics, Econometric Society, vol. 3(2), pages 211-255, July.
    6. S. Rabe-Hesketh & A. Skrondal & H. K. Gjessing, 2008. "Biometrical Modeling of Twin and Family Data Using Standard Mixed Model Software," Biometrics, The International Biometric Society, vol. 64(1), pages 280-288, March.
    7. Camelia M Kuhnen & Joan Y Chiao, 2009. "Genetic Determinants of Financial Risk Taking," PLOS ONE, Public Library of Science, vol. 4(2), pages 1-4, February.
    8. Steven Boker & Michael Neale & Hermine Maes & Michael Wilde & Michael Spiegel & Timothy Brick & Jeffrey Spies & Ryne Estabrook & Sarah Kenny & Timothy Bates & Paras Mehta & John Fox, 2011. "OpenMx: An Open Source Extended Structural Equation Modeling Framework," Psychometrika, Springer;The Psychometric Society, vol. 76(2), pages 306-317, April.
    9. 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.
    10. Hastie, Nicholas D. & van der Loos, Matthijs J. H. M. & Vitart, Veronique & Völzke, Henry & Wellmann, Jürgen & Yu, Lei & Zhao, Wei & Allik, Jüri & Attia, John R. & Bandinelli, Stefania & Bastardot,, 2013. "GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment," Scholarly Articles 13383543, Harvard University Department of Economics.
    11. David Cesarini & Magnus Johannesson & Paul Lichtenstein & Örjan Sandewall & Björn Wallace, 2010. "Genetic Variation in Financial Decision‐Making," Journal of Finance, American Finance Association, vol. 65(5), pages 1725-1754, October.
    12. Frank Dudbridge, 2013. "Power and Predictive Accuracy of Polygenic Risk Scores," PLOS Genetics, Public Library of Science, vol. 9(3), pages 1-17, March.
    13. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    14. Chabris, C.F. & Lee, J.J. & Benjamin, D.J. & Beauchamp, J.P. & Glaeser, E.L. & Borst, G. & Pinker, S. & Laibson, D.I., 2013. "Why it is hard to find genes associated with social science traits: Theoretical and empirical considerations," American Journal of Public Health, American Public Health Association, vol. 103(SUPPL.1), pages 152-166.
    15. David Cesarini & Magnus Johannesson & Patrik K. E. Magnusson & Björn Wallace, 2012. "The Behavioral Genetics of Behavioral Anomalies," Management Science, INFORMS, vol. 58(1), pages 21-34, January.
    16. 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.
    17. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    18. David Cesarini & Christopher T. Dawes & Magnus Johannesson & Paul Lichtenstein & Björn Wallace, 2009. "Genetic Variation in Preferences for Giving and Risk Taking," The Quarterly Journal of Economics, Oxford University Press, vol. 124(2), pages 809-842.
    19. John Cawley & Euna Han & Edward C. Norton, 2011. "The validity of genes related to neurotransmitters as instrumental variables," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 884-888, August.
    20. Kevin Smith & John R. Alford & Peter K. Hatemi & Lindon J. Eaves & Carolyn Funk & John R. Hibbing, 2012. "Biology, Ideology, and Epistemology: How Do We Know Political Attitudes Are Inherited and Why Should We Care?," American Journal of Political Science, John Wiley & Sons, vol. 56(1), pages 17-33, January.
    21. Komlos, John & Kelly, Inas (ed.), 2016. "The Oxford Handbook of Economics and Human Biology," OUP Catalogue, Oxford University Press, number 9780199389292, Decembrie.
    22. Camelia M Kuhnen & Gregory R Samanez-Larkin & Brian Knutson, 2013. "Serotonergic Genotypes, Neuroticism, and Financial Choices," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-9, January.
    23. Charles F. Manski, 2013. "Response to the Review of ‘Public Policy in an Uncertain World’," Economic Journal, Royal Economic Society, vol. 0, pages 412-415, August.
    24. Jeffrey Carpenter & Justin Garcia & J. Lum, 2011. "Dopamine receptor genes predict risk preferences, time preferences, and related economic choices," Journal of Risk and Uncertainty, Springer, vol. 42(3), pages 233-261, June.
    25. 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.
    26. Boardman, Jason D. & Domingue, Benjamin W. & Daw, Jonathan, 2015. "What can genes tell us about the relationship between education and health?," Social Science & Medicine, Elsevier, vol. 127(C), pages 171-180.
    27. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    28. Vanessa Mertins & Andrea B Schote & Wolfgang Hoffeld & Michele Griessmair & Jobst Meyer, 2011. "Genetic Susceptibility for Individual Cooperation Preferences: The Role of Monoamine Oxidase A Gene (MAOA) in the Voluntary Provision of Public Goods," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-9, June.
    29. Songfa Zhong & Salomon Israel & Hong Xue & Richard P Ebstein & Soo Hong Chew, 2009. "Monoamine Oxidase A Gene (MAOA) Associated with Attitude Towards Longshot Risks," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-4, December.
    30. Fletcher, Jason M. & Lehrer, Steven F., 2011. "Genetic lotteries within families," Journal of Health Economics, Elsevier, vol. 30(4), pages 647-659, July.
    31. Fletcher, J.M. & Conley, D., 2013. "The challenge of causal inference in gene-environment interaction research: Leveraging research designs from the social sciences," American Journal of Public Health, American Public Health Association, vol. 103(SUPPL.1), pages 42-45.
    32. James J. Heckman, 2007. "The Economics, Technology and Neuroscience of Human Capability Formation," NBER Working Papers 13195, National Bureau of Economic Research, Inc.
    33. Meike Bartels & Daniel J. Benjamin & David Cesarini & Jan-Emmanuel De Neve & Magnus Johannesson & Philipp D. Koellinger & Robert F. Krueger & Patrik K. E. Magnusson & Nancy L. Pedersen & Cornelius A. , 2013. "Molecular Genetics and Subjective Well-Being," CEP Discussion Papers dp1225, Centre for Economic Performance, LSE.
    34. Steven F. Lehrer & R. Vincent Pohl & Kyungchul Song, 2016. "Targeting Policies: Multiple Testing and Distributional Treatment Effects," NBER Working Papers 22950, National Bureau of Economic Research, Inc.
    35. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    36. Beauchamp, Jonathan P. & Christakis, Nicholas Alexander & Hauser, Robert M. & Laibson, David I. & Benjamin, Daniel J. & Johannesson, Magnus & Atwood, Craig S. & Freese, Jeremy & Hauser, Taissa S. & Ch, 2012. "Most Reported Genetic Associations with General Intelligence Are Probably False Positives," Scholarly Articles 9938142, Harvard University Department of Economics.
    37. D. James Greiner & Donald B. Rubin, 2011. "Causal Effects of Perceived Immutable Characteristics," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 775-785, August.
    38. Taubman, Paul, 1976. "The Determinants of Earnings: Genetics, Family, and Other Environments; A Study of White Male Twins," American Economic Review, American Economic Association, vol. 66(5), pages 858-870, December.
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    2. 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.

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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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