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

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  • von Hinke Kessler Scholder S

Abstract

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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Bibliographic Info

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

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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
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Web page: http://www.york.ac.uk/economics/postgrad/herc/hedg/
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Related research

Keywords: Instrumental variables; Mendelian randomization; Genetic variant; Potential outcomes; Academic performance; Educational attainment; Adiposity; Fat mass; Body Mass Index; ALSPAC;

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References

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  3. 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.
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  7. Edward C Norton & Euna Han, 2007. "Genetic Information, Obesity, and Labor Market Outcomes," Health, Econometrics and Data Group (HEDG) Working Papers 07/15, HEDG, c/o Department of Economics, University of York.
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  12. Anne Case & Darren Lubotsky & Christina Paxson, 2002. "Economic status and health in childhood: the origins of the gradient," Working Papers 262, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
  13. Burkhauser, Richard V. & Cawley, John, 2008. "Beyond BMI: The value of more accurate measures of fatness and obesity in social science research," Journal of Health Economics, Elsevier, vol. 27(2), pages 519-529, March.
  14. 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.
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  17. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
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Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. The Effect of Child Weight on Academic Performance: Evidence using Genetic Markers
    by Kevin Denny in Geary Behaviour Centre on 2009-07-29 14:56:00
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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," CESifo Working Paper Series 2946, CESifo Group Munich.
  2. Böckerman, Petri & Bryson, Alex & Viinikainen, Jutta & Hakulinen, Christian & Pulkki-Raback, Laura & Raitakari, Olli, 2014. "Biomarkers and Long-term Labour Market Outcomes: The Case of Creatine," IZA Discussion Papers 8029, Institute for the Study of Labor (IZA).
  3. 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.

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