Child height, health and human capital: evidence using genetic markers
AbstractHeight has long been recognised as associated with better outcomes: the question is whether this association is causal. We use children’s genetic variants as instrumental variables (IV) to deal with possible unobserved confounders and examine the effect of child and adolescent height on a wide range of outcomes: academic performance, IQ, self-esteem, symptoms related to depression and behavioural problems, including hyperactivity, emotional, conduct and peer problems. OLS findings show that taller children have higher IQ scores, perform better in school tests, and are less likely to have emotional or peer problems. The IV results differ. They show that taller children have better cognitive performance but, in contrast to the OLS, indicate that taller children are more likely to have behavioural problems. The magnitude of these IV estimates is large. For example, the effect of one standard deviation increase in height on IQ is comparable to the IQ difference for children born approximately 6 months apart within the same school year, while the increase in hyperactivity is comparable to the raw difference in hyperactivity between boys and girls.
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Bibliographic InfoPaper provided by Department of Economics, University of Bristol, UK in its series The Centre for Market and Public Organisation with number 10/245.
Length: 30 pages
Date of creation: Sep 2010
Date of revision:
Child and adolescent height; human capital; mental health; behavioural outcomes; instrumental variables; Mendelian randomization; genetic variants; ALSPAC;
Other versions of this item:
- 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.
- von Hinke Kessler Scholder, S & Davey Smith, G & Lawlor, DA & Propper, C & Windmeijer, F, 2010. "Child height, health and human capital: evidence using genetic markers," Working Papers 5947, Imperial College, London, Imperial College Business School.
- I1 - Health, Education, and Welfare - - Health
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-10-02 (All new papers)
- NEP-HAP-2010-10-02 (Economics of Happiness)
- NEP-HEA-2010-10-02 (Health Economics)
- NEP-HRM-2010-10-02 (Human Capital & Human Resource Management)
- NEP-LAB-2010-10-02 (Labour Economics)
- NEP-NEU-2010-10-02 (Neuroeconomics)
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- Stephanie von Hinke Kessler Scholder & George Davey Smith & Debbie A. Lawlor & Carol Propper & Frank Windmeijer, 2011. "Genetic Markers as Instrumental Variables," The Centre for Market and Public Organisation 11/274, Department of Economics, University of Bristol, UK.
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