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

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

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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • von Hinke Kessler Scholder, S & Propper, C & Lawlor, D & Windmeijer, F & Davey Smith, G, 2010. "Genetic markers as instrumental variables: an application to child fat mass and academic achievement," Working Papers 5772, Imperial College, London, Imperial College Business School.
    • Handle: RePEc:imp:wpaper:5772
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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 19:56:00

    Citations

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    Cited by:

    1. Joseph Sabia & Daniel Rees, 2015. "Body weight, mental health capital, and academic achievement," Review of Economics of the Household, Springer, vol. 13(3), pages 653-684, September.
    2. 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.
    3. Böckerman, Petri & Bryson, Alex & Viinikainen, Jutta & Hakulinen, Christian & Pulkki-Råback, Laura & Raitakari, Olli & Pehkonen, Jaakko, 2017. "Biomarkers and long-term labour market outcomes: The case of creatine," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 259-274.
    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.
    5. 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.
    6. Dawid Philip & Didelez Vanessa, 2012. ""Imagine a Can Opener"--The Magic of Principal Stratum Analysis," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-12, July.
    7. Nuñez, Roy, 2020. "Obesity and labor market in Peru," MPRA Paper 105621, University Library of Munich, Germany.
    8. Böckerman, Petri & Bryson, Alex & Viinikainen, Jutta & Hakulinen, Christian & Pulkki-Råback, Laura & Raitakari, Olli & Pehkonen, Jaakko, 2017. "Biomarkers and long-term labour market outcomes: The case of creatine," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 259-274.
    9. 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.
    10. von Hinke Kessler Scholder, Stephanie & Davey Smith, George & Lawlor, Debbie A. & Propper, Carol & Windmeijer, Frank, 2013. "Child height, health and human capital: Evidence using genetic markers," European Economic Review, Elsevier, vol. 57(C), pages 1-22.
    11. Castelnovo, Paolo, 2014. "Short and Long-run Effects of Obesity on Cognitive Skills: Evidence from an English Cohort," MPRA Paper 107706, University Library of Munich, Germany, revised 2014.

    More about this item

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I2 - Health, Education, and Welfare - - Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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