IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp10567.html
   My bibliography  Save this paper

Genetic Ability, Wealth, and Financial Decision-Making

Author

Listed:
  • Barth, Daniel

    (University of Southern California)

  • Papageorge, Nicholas W.

    (Johns Hopkins University)

  • Thom, Kevin

    (New York University)

Abstract

Recent advances in behavioral genetics have enabled the discovery of genetic scores linked to a variety of economic outcomes, including education. We build on this progress to demonstrate that the same genetic variants that predict educational attainment independently predict household wealth in the Health and Retirement Study (HRS). This relationship is partly explained by higher earnings, but a substantial portion of this association cannot be explained mechanically by income flows or bequests. This leads us to explore the role of beliefs, financial literacy and portfolio decisions in explaining this genetic gradient in wealth.We show that individuals with lower genetic scores are more prone to reporting "extreme beliefs" (e.g., reporting that there is a 100% chance of a stock market decline in the near future) and they invest their savings accordingly (e.g., avoiding the stock market). Our findings suggest that genetic factors that promote human capital accumulation contribute to wealth disparities not only through education and higher earnings, but also through their impact on the ability to process information and make good financial decisions. The association between genetic ability and wealth is substantially lower among households receiving a defined benefit pension. Policies that transfer greater responsibility to individuals to manage their wealth might therefore exacerbate the consequences of labor market inequality.

Suggested Citation

  • Barth, Daniel & Papageorge, Nicholas W. & Thom, Kevin, 2017. "Genetic Ability, Wealth, and Financial Decision-Making," IZA Discussion Papers 10567, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp10567
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp10567.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Diana S. Lien & William N. Evans, 2005. "Estimating the Impact of Large Cigarette Tax Hikes: The Case of Maternal Smoking and Infant Birth Weight," Journal of Human Resources, University of Wisconsin Press, vol. 40(2).
    2. 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.
    3. Jess Benhabib & Alberto Bisin & Shenghao Zhu, 2011. "The Distribution of Wealth and Fiscal Policy in Economies With Finitely Lived Agents," Econometrica, Econometric Society, vol. 79(1), pages 123-157, January.
    4. Jeff Dominitz & Charles F. Manski, 2007. "Expected Equity Returns and Portfolio Choice: Evidence from the Health and Retirement Study," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 369-379, 04-05.
    5. Yogo, Motohiro, 2016. "Portfolio choice in retirement: Health risk and the demand for annuities, housing, and risky assets," Journal of Monetary Economics, Elsevier, vol. 80(C), pages 17-34.
    6. Krueger, Dirk & Kindermann, Fabian, 2014. "High Marginal Tax Rates on the Top 1%? Lessons from a Life Cycle Model with Idiosyncratic Income Risk," CEPR Discussion Papers 10208, C.E.P.R. Discussion Papers.
    7. Stefan Bach & Andreas Thiemann & Aline Zucco, 2015. "The Top Tail of the Wealth Distribution in Germany, France, Spain, and Greece," Discussion Papers of DIW Berlin 1502, DIW Berlin, German Institute for Economic Research.
    8. Jason M Fletcher, 2012. "Why Have Tobacco Control Policies Stalled? Using Genetic Moderation to Examine Policy Impacts," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-6, December.
    9. Andreas Fagereng & Luigi Guiso & Davide Malacrino & Luigi Pistaferri, 2020. "Heterogeneity and Persistence in Returns to Wealth," Econometrica, Econometric Society, vol. 88(1), pages 115-170, January.
    10. Costa, Dora L., 1998. "Unequal at Birth: A Long-Term Comparison of Income and Birth Weight," The Journal of Economic History, Cambridge University Press, vol. 58(4), pages 987-1009, December.
    11. James M. Poterba & David A. Wise, 1998. "Individual Financial Decisions in Retirement Saving Plans and the Provision of Resources for Retirement," NBER Chapters, in: Privatizing Social Security, pages 363-401, National Bureau of Economic Research, Inc.
    12. Currie, Janet & Neidell, Matthew & Schmieder, Johannes F., 2009. "Air pollution and infant health: Lessons from New Jersey," Journal of Health Economics, Elsevier, vol. 28(3), pages 688-703, May.
    13. Matthew Wiswall & Basit Zafar, 2015. "Determinants of College Major Choice: Identification using an Information Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(2), pages 791-824.
    14. 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.
    15. Arrondel, Luc & Calvo-Pardo, Hector, 2014. "Subjective return expectations, information and stock market participation: evidence from France," Discussion Paper Series In Economics And Econometrics 1415, Economics Division, School of Social Sciences, University of Southampton.
    16. Fletcher, Jason M. & Lehrer, Steven F., 2011. "Genetic lotteries within families," Journal of Health Economics, Elsevier, vol. 30(4), pages 647-659, July.
    17. Jess Benhabib & Alberto Bisin, 2018. "Skewed Wealth Distributions: Theory and Empirics," Journal of Economic Literature, American Economic Association, vol. 56(4), pages 1261-1291, December.
    18. Emmanuel Saez & Gabriel Zucman, 2014. "Wealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data," NBER Working Papers 20625, National Bureau of Economic Research, Inc.
    19. Gábor Kézdi & Robert J. Willis, 2003. "Who Becomes a Stockholder? Expectations, SUbjective Uncertainty, and Asset Allocation," Working Papers wp039, University of Michigan, Michigan Retirement Research Center.
    20. Kindermann, Fabian & Krueger, Dirk, 2014. "High marginal tax rates on the top 1%?," CFS Working Paper Series 473, Center for Financial Studies (CFS).
    21. Yona Rubinstein & James J. Heckman, 2001. "The Importance of Noncognitive Skills: Lessons from the GED Testing Program," American Economic Review, American Economic Association, vol. 91(2), pages 145-149, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Su H. Shin & Dean R. Lillard & Jay Bhattacharya, 2019. "Understanding the Correlation between Alzheimer’s Disease Polygenic Risk, Wealth, and the Composition of Wealth Holdings," NBER Working Papers 25526, National Bureau of Economic Research, Inc.
    2. Victor Ronda & Esben Agerbo & Dorthe Bleses & Preben Bo Mortensen & Anders Børglum & Ole Mors & Michael Rosholm & David M. Hougaard & Merete Nordentoft & Thomas Werge, 2022. "Family disadvantage, gender, and the returns to genetic human capital," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(2), pages 550-578, April.
    3. Ravit Rubinstein-Levi & Haim Kedar-Levy, 2019. "The Effect of Attitudes Regarding Retirement on Pension Savings," Review of Economics & Finance, Better Advances Press, Canada, vol. 15, pages 1-13, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Mariacristina De Nardi & Giulio Fella, 2017. "Saving and Wealth Inequality," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 280-300, October.
    3. Andreas Fagereng & Luigi Guiso & Davide Malacrino & Luigi Pistaferri, 2020. "Heterogeneity and Persistence in Returns to Wealth," Econometrica, Econometric Society, vol. 88(1), pages 115-170, January.
    4. Almond, Douglas & Currie, Janet, 2011. "Human Capital Development before Age Five," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 15, pages 1315-1486, Elsevier.
    5. Jess Benhabib & Alberto Bisin, 2018. "Skewed Wealth Distributions: Theory and Empirics," Journal of Economic Literature, American Economic Association, vol. 56(4), pages 1261-1291, December.
    6. 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.
    7. Kaymak, Barıș & Leung, David & Poschke, Markus, 2020. "Accounting for Wealth Concentration in the US," IZA Discussion Papers 13082, Institute of Labor Economics (IZA).
    8. Philippe De Donder & John E. Roemer, 2017. "The dynamics of capital accumulation in the US: simulations after piketty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 121-141, June.
    9. Fernández-Villaverde, Jesús & Levintal, Oren, 2024. "The Distributional Effects of Asset Returns," CEPR Discussion Papers 18855, C.E.P.R. Discussion Papers.
    10. Eddy Zanoutene, 2023. "Scale‐dependent and risky returns to savings: Consequences for optimal capital taxation," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 25(3), pages 532-569, June.
    11. Khieu, Hoang & Wälde, Klaus, 2023. "Capital income risk and the dynamics of the wealth distribution," Economic Modelling, Elsevier, vol. 122(C).
    12. Xavier Gabaix & Jean‐Michel Lasry & Pierre‐Louis Lions & Benjamin Moll, 2016. "The Dynamics of Inequality," Econometrica, Econometric Society, vol. 84, pages 2071-2111, November.
    13. Baris Kaymak & CHEUK SHING LEUNG & Markus Poschke, 2018. "Accounting for the determinants of wealth concentration in the US," 2018 Meeting Papers 911, Society for Economic Dynamics.
    14. Dan Cao & Wenlan Luo, 2017. "Persistent Heterogeneous Returns and Top End Wealth Inequality," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 301-326, October.
    15. David Leung & Markus Poschke, 2023. "Progressive consumption tax reforms," CIRANO Project Reports 2023rp-07, CIRANO.
    16. Benjamin Moll & Lukasz Rachel & Pascual Restrepo, 2022. "Uneven Growth: Automation's Impact on Income and Wealth Inequality," Econometrica, Econometric Society, vol. 90(6), pages 2645-2683, November.
    17. Mitman, Kurt & Krueger, Dirk & Perri, Fabrizio, 2016. "On the Distribution of the Welfare Losses of Large Recessions," CEPR Discussion Papers 11413, C.E.P.R. Discussion Papers.
    18. Florian Scheuer & Joel Slemrod, 2020. "Taxation and the Superrich," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 189-211, August.
    19. Jess Benhabib & Alberto Bisin & Mi Luo, 2019. "Wealth Distribution and Social Mobility in the US: A Quantitative Approach," American Economic Review, American Economic Association, vol. 109(5), pages 1623-1647, May.
    20. Hubar, Sylwia & Koulovatianos, Christos & Li, Jian, 2020. "The role of labor-income risk in household risk-taking," European Economic Review, Elsevier, vol. 129(C).

    More about this item

    Keywords

    education and genetics; beliefs; portfolio decisions; inequality; wealth;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp10567. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.