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

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  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.
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  14. 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.
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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 & James H. Fowler & Bruno S. Frey, 2010. "Genes, economics, and happiness," IEW - Working Papers 475, Institute for Empirical Research in Economics - University of Zurich.
  2. Dr Alex Bryson, 2014. "Biomarkers and Long-term Labour Market Outcomes: The Case of Creatine," NIESR Discussion Papers 11805, National Institute of Economic and Social Research.
  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.
  4. Petri Bockerman & Alex Bryson & Christian Hakulinen & Jaakko Pehkonen & Laura Pulkki-Raback & Olli Raitakari & Jutta Viinikainen, 2014. "Biomarkers and Long-term Market Outcomes: The Case of Creatine," CEP Discussion Papers dp1279, Centre for Economic Performance, LSE.

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