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Child height, health and human capital: evidence using genetic markers

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  • von Hinke Kessler Scholder, S
  • Davey Smith, G
  • Lawlor, DA
  • Propper, C
  • Windmeijer, F

Abstract

Height has long been recognized as being associated with better outcomes: the question is whether this association is causal. We use children's genetic variants as instrumental variables to deal with possible unobserved confounders and examine the effect of child/adolescent height on a wide range of outcomes: academic performance, IQ, self-esteem, depression symptoms and behavioral problems. OLS findings show that taller children have higher IQ, perform better in school, and are less likely to have behavioral problems. The IV results differ: taller girls (but not boys) have better cognitive performance and, in contrast to the OLS, greater height appears to increase behavioral problems.
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Suggested Citation

  • von Hinke Kessler Scholder, S & Davey Smith, G & Lawlor, DA & Propper, C & Windmeijer, F, 2013. "Child height, health and human capital: evidence using genetic markers," Working Papers 5947, Imperial College, London, Imperial College Business School.
  • Handle: RePEc:imp:wpaper:5947
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    References listed on IDEAS

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    5. repec:pri:cheawb:case_and_paxson_early_life_health_w15637 is not listed on IDEAS
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    15. von Hinke, Stephanie & Davey Smith, George & Lawlor, Debbie A. & Propper, Carol & Windmeijer, Frank, 2016. "Genetic markers as instrumental variables," Journal of Health Economics, Elsevier, vol. 45(C), pages 131-148.
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    Cited by:

    1. Stephanie Hinke Kessler Scholder & George L. Wehby & Sarah Lewis & Luisa Zuccolo, 2014. "Alcohol Exposure In Utero and Child Academic Achievement," Economic Journal, Royal Economic Society, vol. 0(576), pages 634-667, May.
    2. Padraig Dixon & George Davey Smith & Stephanie von Hinke & Neil M. Davies & William Hollingworth, 2016. "Estimating Marginal Healthcare Costs Using Genetic Variants as Instrumental Variables: Mendelian Randomization in Economic Evaluation," PharmacoEconomics, Springer, vol. 34(11), pages 1075-1086, November.
    3. Guven, Cahit & Lee, Wang-Sheng, 2015. "Height, aging and cognitive abilities across Europe," Economics & Human Biology, Elsevier, vol. 16(C), pages 16-29.
    4. 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.
    5. Lange, Simon & von Werder, Marten, 2016. "Tracking and the Intergenerational Transmission of Education: Evidence from a Natural Experiment," Annual Conference 2016 (Augsburg): Demographic Change 145784, Verein für Socialpolitik / German Economic Association.
    6. Fang, Muriel Zheng, 2014. "Violating the Monotonicity condition for instrumental variable—Dimorphic patterns of gene–behavior association," Economics Letters, Elsevier, vol. 122(1), pages 59-63.
    7. von Hinke, Stephanie & Davey Smith, George & Lawlor, Debbie A. & Propper, Carol & Windmeijer, Frank, 2016. "Genetic markers as instrumental variables," Journal of Health Economics, Elsevier, vol. 45(C), pages 131-148.
    8. Ludwig, Markus, 2013. "Youth Bulge and Mid-Life Moderation: Large Cohort Size Effects, Economic Perspectives and Civil Conflict in Sub-Saharan Africa," MPRA Paper 53088, University Library of Munich, Germany.
    9. von Hinke Kessler Scholder, Stephanie & Davey Smith, George & Lawlor, Debbie A. & Propper, Carol & Windmeijer, Frank, 2012. "The effect of fat mass on educational attainment: Examining the sensitivity to different identification strategies," Economics & Human Biology, Elsevier, vol. 10(4), pages 405-418.
    10. Böckerman, Petri & Viinikainen, Jutta & Vainiomäki, Jari & Hintsanen, Mirka & Pitkänen, Niina & Lehtimäki, Terho & Pehkonen, Jaakko & Rovio, Suvi & Raitakari, Olli, 2017. "Stature and long-term labor market outcomes: Evidence using Mendelian randomization," Economics & Human Biology, Elsevier, vol. 24(C), pages 18-29.
    11. Lee, Wang-Sheng, 2014. "Big and Tall: Is there a Height Premium or Obesity Penalty in the Labor Market?," IZA Discussion Papers 8606, Institute for the Study of Labor (IZA).

    More about this item

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I2 - Health, Education, and Welfare - - Education

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