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Genetic Markers as Instrumental Variables: An Application to Child Fat Mass and Academic Achievement

  • von Hinke Kessler Scholder S

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 HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 09/25.

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Date of creation: Jul 2009
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Handle: RePEc:yor:hectdg:09/25
Contact details of provider: Postal: HEDG/HERC, Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
Phone: (0)1904 323776
Fax: (0)1904 323759
Web page: http://www.york.ac.uk/economics/postgrad/herc/hedg/
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  1. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
  2. Anne Case & Christina Paxson, 2006. "Stature and status: Height, ability, and labor market outcomes," Working Papers 27, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
  3. 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.
  4. 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.
  5. 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.
  6. Weili Ding & Steven F. Lehrer & J. Niels Rosenquist & Janet Audrain-McGovern, 2006. "The Impact of Poor Health on Education: New Evidence Using Genetic Markers," NBER Working Papers 12304, National Bureau of Economic Research, Inc.
  7. Joshua Angrist & Alan Krueger, 1990. "Does Compulsory School Attendance Affect Schooling and Earnings?," Working Papers 653, Princeton University, Department of Economics, Industrial Relations Section..
  8. 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.
  9. 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.
  10. Mobius, Markus & Rosenblat, Tanya, 2010. "Why Beauty Matters," Staff General Research Papers 32112, Iowa State University, Department of Economics.
  11. Cunha, Flavio & Heckman, James J., 2007. "The Technology of Skill Formation," IZA Discussion Papers 2550, Institute for the Study of Labor (IZA).
  12. 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.
  13. Kaestner, Robert & Grossman, Michael, 2009. "Effects of weight on children's educational achievement," Economics of Education Review, Elsevier, vol. 28(6), pages 651-661, December.
  14. 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.
  15. John Cawley, 2004. "The Impact of Obesity on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
  16. 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.
  17. 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.
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