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Using Genetic Lotteries within Families to Examine the Causal Impact of Poor Health on Academic Achievement

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  • Jason M. Fletcher
  • Steven F. Lehrer

Abstract

While there is a well-established, large positive correlation between mental and physical health and education outcomes, establishing a causal link remains a substantial challenge. Building on findings from the biomedical literature, we exploit specific differences in the genetic code between siblings within the same family to estimate the causal impact of several poor health conditions on academic outcomes. We present evidence of large impacts of poor mental health on academic achievement. Further, our estimates suggest that family fixed effects estimators by themselves cannot fully account for the endogeneity of poor health. Finally, our sensitivity analysis suggests that these differences in specific portions of the genetic code have good statistical properties and that our results are robust to reasonable violations of the exclusion restriction assumption.

Suggested Citation

  • 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.
  • Handle: RePEc:nbr:nberwo:15148
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    Cited by:

    1. Jan-Emmanuel De Neve & Nicholas A. Christakis & James H. Fowler & Bruno S. Frey, 2010. "Genes, Economics, and Happiness," CREMA Working Paper Series 2010-24, Center for Research in Economics, Management and the Arts (CREMA).
    2. 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.
    3. 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.
    4. Edward C. Norton & Euna Han, 2008. "Genetic information, obesity, and labor market outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 17(9), pages 1089-1104, September.
    5. Raquel Fonseca Benito & Yuhui Zheng, 2011. "The Effect of Education on Health Cross-Country Evidence," Working Papers WR-864, RAND Corporation.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Stephanie von Hinke Kessler Scholder & George Davey Smith & Debbie A. Lawlor & Carol Propper & Frank Windmeijer, 2011. "Mendelian randomization: the use of genes in instrumental variable analyses," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 893-896, August.
    12. 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.
    13. Lundborg, Petter & Nilsson, Anton & Rooth, Dan-Olof, 2014. "Adolescent health and adult labor market outcomes," Journal of Health Economics, Elsevier, vol. 37(C), pages 25-40.
    14. 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.
    15. 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.
    16. Eide, Eric R. & Showalter, Mark H., 2011. "Estimating the relation between health and education: What do we know and what do we need to know?," Economics of Education Review, Elsevier, vol. 30(5), pages 778-791, October.
    17. Jeffrey S. DeSimone, 2010. "Sadness, Suicidality and Grades," NBER Working Papers 16239, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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