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Genetic markers as instrumental variables: an application to child fat mass and academic achievement

  • von Hinke Kessler Scholder, S
  • Propper, C
  • Lawlor, D
  • Windmeijer, F
  • Davey Smith, G

The use of genetic markers as instrumental variables (IV) is receiving increasing attention from economists. This paper examines the conditions that need to be met for genetic variants to be used as instruments. We combine the IV literature with that from genetic epidemiology, with an application to child adiposity (fat mass, determined by a dual-energy X-ray absorptiometry (DXA) scan) and academic performance. OLS results indicate that leaner children perform slightly better in school tests compared to their more adipose counterparts, but the IV findings show no evidence that fat mass affects academic outcomes.

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Paper provided by Imperial College, London, Imperial College Business School in its series Working Papers with number 5772.

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Handle: RePEc:imp:wpaper:5772
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  1. Flavio Cunha & James Heckman, 2007. "The Technology of Skill Formation," NBER Working Papers 12840, National Bureau of Economic Research, Inc.
  2. Weili Ding & Steven Lehrer & J. Niles Rosenquist & Janet Audrain-McGovern, 2006. "The Impact of Poor Health on Education: New Evidence Using Genetic Markers," Working Papers 1045, Queen's University, Department of Economics.
  3. 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.
  4. Anne Case & Christina Paxson, 2006. "Stature and Status: Height, Ability, and Labor Market Outcomes," NBER Working Papers 12466, National Bureau of Economic Research, Inc.
  5. Robert Kaestner & Michael Grossman, 2008. "Effects of Weight on Children's Educational Achievement," NBER Working Papers 13764, National Bureau of Economic Research, Inc.
  6. 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.
  7. John Cawley & Richard V. Burkhauser, 2006. "Beyond BMI: The Value of More Accurate Measures of Fatness and Obesity in Social Science Research," NBER Working Papers 12291, National Bureau of Economic Research, Inc.
  8. Anne Case & Darren Lubotsky & Christina Paxson, 2001. "Economic Status and Health in Childhood: The Origins of the Gradient," NBER Working Papers 8344, National Bureau of Economic Research, Inc.
  9. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
  10. Mobius, Markus & Rosenblat, Tanya, 2006. "Why Beauty Matters," Scholarly Articles 3043406, Harvard University Department of Economics.
  11. John Cawley, 2004. "The Impact of Obesity on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
  12. Joseph J. Sabia, 2007. "The Effect of Body Weight on Adolescent Academic Performance," Southern Economic Journal, Southern Economic Association, vol. 73(4), pages 871–900, April.
  13. Hamermesh, Daniel S & Biddle, Jeff E, 1994. "Beauty and the Labor Market," American Economic Review, American Economic Association, vol. 84(5), pages 1174-94, December.
  14. J. Gronniger, 2005. "Familial obesity as a proxy for omitted variables in the obesity-mortality relationship," Demography, Springer, vol. 42(4), pages 719-735, November.
  15. Angrist, Joshua D & Graddy, Kathryn & Imbens, Guido W, 2000. "The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish," Review of Economic Studies, Wiley Blackwell, vol. 67(3), pages 499-527, July.
  16. Angrist, Joshua D & Krueger, Alan B, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, MIT Press, vol. 106(4), pages 979-1014, November.
  17. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
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