IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/16026.html
   My bibliography  Save this paper

Genetic Interactions with Prenatal Social Environment: Effects on Academic and Behavioral Outcomes

Author

Listed:
  • Dalton Conley
  • Emily Rauscher

Abstract

Caspi et al. (2002, 2003), Guo et al. (2008a), and Pescosolido et al. (2008) all claim to have demonstrated allele-by-environment interactions, but in all cases environmental influences are potentially endogenous to the unmeasured genetic characteristics of the subjects and their families. Thus, gene-gene interactions cannot be ruled out as an alternative explanation. Second, these studies have not deployed adjustments for multiple hypothesis testing--always an issue, but particularly so for GE studies with multiple alleles and outcomes. Using data from the National Longitudinal Survey of Adolescent Health (Add Health), we address these limitations of previous studies by taking advantage of a natural experiment that randomizes a particular environmental influence - fetal position, resulting in birth weight discordance within monozygotic twin pairs (validated with dizygotic twins as well). Whether or not we use corrections for multiple statistical tests, we find no support for the GE interactions (or for main effects of genes or birth weight) found in past research and, in fact, the only significant allele-birth weight interaction we reveal works in the opposite direction of Caspi et al.'s classic finding on 5-HTT and maltreatment.

Suggested Citation

  • Dalton Conley & Emily Rauscher, 2010. "Genetic Interactions with Prenatal Social Environment: Effects on Academic and Behavioral Outcomes," NBER Working Papers 16026, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:16026
    Note: CH ED EH
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w16026.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jason M. Fletcher & Steven F. Lehrer, 2009. "Using Genetic Lotteries within Families to Examine the Causal Impact of Poor Health on Academic Achievement," NBER Working Papers 15148, National Bureau of Economic Research, Inc.
    2. Fletcher, Jason M. & Lehrer, Steven F., 2011. "Genetic lotteries within families," Journal of Health Economics, Elsevier, vol. 30(4), pages 647-659, July.
    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. 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.
    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. Jason M. Fletcher, 2011. "The promise and pitfalls of combining genetic and economic research," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 889-892, August.

    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. Raquel Fonseca Benito & Yuhui Zheng, 2011. "The Effect of Education on Health Cross-Country Evidence," Working Papers WR-864, RAND Corporation.
    2. Jan-Emmanuel De Neve & James H. Fowler & Bruno S. Frey, 2010. "Genes, economics, and happiness," IEW - Working Papers 475, Institute for Empirical Research in Economics - University of Zurich.
    3. George Wehby & Allen Wilcox & Rolv Lie, 2013. "The impact of cigarette quitting during pregnancy on other prenatal health behaviors," Review of Economics of the Household, Springer, vol. 11(2), pages 211-233, June.
    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. von Hinke Kessler Scholder, Stephanie & Davey Smith, George & Lawlor, Debbie A. & Propper, Carol & Windmeijer, Frank, 2012. "The effect of fat mass on educational attainment: Examining the sensitivity to different identification strategies," Economics & Human Biology, Elsevier, vol. 10(4), pages 405-418.
    6. Johnson, Eric & Reynolds, C. Lockwood, 2013. "The effect of household hospitalizations on the educational attainment of youth," Economics of Education Review, Elsevier, vol. 37(C), pages 165-182.
    7. Jere Behrman & Hans-Peter Kohler & Vibeke Jensen & Dorthe Pedersen & Inge Petersen & Paul Bingley & Kaare Christensen, 2011. "Does More Schooling Reduce Hospitalization and Delay Mortality? New Evidence Based on Danish Twins," Demography, Springer;Population Association of America (PAA), vol. 48(4), pages 1347-1375, November.
    8. Vikesh Amin & Jere R. Behrman & Jason M. Fletcher & Carlos A. Flores & Alfonso Flores‐Lagunes & Hans‐Peter Kohler, 2021. "Genetic risks, adolescent health, and schooling attainment," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2905-2920, November.
    9. von Hinke Kessler Scholder S, 2009. "Genetic Markers as Instrumental Variables: An Application to Child Fat Mass and Academic Achievement," Health, Econometrics and Data Group (HEDG) Working Papers 09/25, HEDG, c/o Department of Economics, University of York.
    10. 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.
    11. Philip Oreopoulos & Kjell G. Salvanes, 2009. "How large are returns to schooling? Hint: Money isn't everything," NBER Working Papers 15339, National Bureau of Economic Research, Inc.
    12. 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.
    13. 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.
    14. Dixon, Padraig & Hollingworth, William & Harrison, Sean & Davies, Neil M. & Davey Smith, George, 2020. "Mendelian Randomization analysis of the causal effect of adiposity on hospital costs," Journal of Health Economics, Elsevier, vol. 70(C).
    15. 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.
    16. Savelyev, Peter A. & Ward, Benjamin C. & Krueger, Robert F. & McGue, Matt, 2022. "Health endowments, schooling allocation in the family, and longevity: Evidence from US twins," Journal of Health Economics, Elsevier, vol. 81(C).
    17. Barth, Daniel & Papageorge, Nicholas W. & Thom, Kevin, 2017. "Genetic Ability, Wealth, and Financial Decision-Making," IZA Discussion Papers 10567, Institute of Labor Economics (IZA).
    18. Lucas Hafner & Harald Tauchmann & Ansgar Wübker, 2021. "Does moderate weight loss affect subjective health perception in obese individuals? Evidence from field experimental data," Empirical Economics, Springer, vol. 61(4), pages 2293-2333, October.
    19. Willage, Barton, 2018. "The effect of weight on mental health: New evidence using genetic IVs," Journal of Health Economics, Elsevier, vol. 57(C), pages 113-130.
    20. Barban, Nicola & De Cao, Elisabetta & Oreffice, Sonia & Quintana-Domeque, Climent, 2021. "The effect of education on spousal education: A genetic approach," Labour Economics, Elsevier, vol. 71(C).

    More about this item

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health

    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:nbr:nberwo:16026. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.