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Estimation of a Dynamic Model of Weight

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  • Shu Wen Ng
  • Edward C. Norton
  • David K. Guilkey
  • Barry M. Popkin

Abstract

The ongoing debate about the economic causes of obesity has focused on the changing relative prices of diet and exercise. This paper uses a model that explicitly includes time and spatially varying community-level urbanicity and price measures as instruments to obtain statistically correct measures for the endogenous effects of diet, physical activity, drinking, and smoking on weight. We apply a dynamic panel system GMM estimation model to longitudinal (1991-2006) data from China to model weight and find that among adult men in China, about 6.1% of weight gain was due to declines in physical activity and 2.9-3.8% was due to dietary changes over this period. In the long run, physical activity can account for around 6.9% of weight gain, while diet can account for 3.2-4.2% of weight gain.

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  • Shu Wen Ng & Edward C. Norton & David K. Guilkey & Barry M. Popkin, 2010. "Estimation of a Dynamic Model of Weight," NBER Working Papers 15864, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:15864
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    Cited by:

    1. Nancy Kong & Weina Zhou, 2021. "The curse of modernization? Western fast food and Chinese children's weight," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2345-2366, September.
    2. Aldy, Joseph E., 2014. "The Labor Market Impacts of the 2010 Deepwater Horizon Oil Spill and Offshore Oil Drilling Moratorium," RFF Working Paper Series dp-14-27, Resources for the Future.
    3. Tafreschi, Darjusch, 2015. "The income body weight gradients in the developing economy of China," Economics & Human Biology, Elsevier, vol. 16(C), pages 115-134.
    4. Leonardo Fabio Morales & Penny Gordon-Larsen & David Guilkey, 2014. "Obesity and Health-Related Decisions: An Empirical Model of the Determinants of Weight Status," Borradores de Economia 12171, Banco de la Republica.
    5. Roemling, Cornelia & Qaim, Matin, 2012. "Obesity Trends, Determinants and Policy Implications in Indonesia," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126208, International Association of Agricultural Economists.
    6. Fadaeenejad, M. & Radzi, M.A.M. & AbKadir, M.Z.A. & Hizam, H., 2014. "Assessment of hybrid renewable power sources for rural electrification in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 299-305.
    7. Morales, Leonardo Fabio & Gordon-Larsen, Penny & Guilkey, David, 2016. "Obesity and health-related decisions: An empirical model of the determinants of weight status across the transition from adolescence to young adulthood," Economics & Human Biology, Elsevier, vol. 23(C), pages 46-62.
    8. Leonardo Fabio Morales & Penny Gordon-Larsen & David Guilkey, 2014. "Obesity and Health-Related Decisions: An Empirical Model of the Determinants of Weight Status," Borradores de Economia 846, Banco de la Republica de Colombia.
    9. Pinkston, Joshua C., 2017. "The dynamic effects of obesity on the wages of young workers," Economics & Human Biology, Elsevier, vol. 27(PA), pages 154-166.
    10. Daouli, Joan & Davillas, Apostolos & Demoussis, Michael & Giannakopoulos, Nicholas, 2013. "The determinants of body mass in Greece: Evidence from the National Health Survey," MPRA Paper 66392, University Library of Munich, Germany.
    11. Daouli, Joan & Davillas, Apostolos & Demoussis, Michael & Giannakopoulos, Nicholas, 2014. "Obesity persistence and duration dependence: Evidence from a cohort of US adults (1985–2010)," Economics & Human Biology, Elsevier, vol. 12(C), pages 30-44.
    12. Meliyanni Johar & Shiko Maruyama & Jeffrey Truong, 2017. "The contribution of Western fast food to fast-growing body mass in China," Applied Economics, Taylor & Francis Journals, vol. 49(8), pages 797-811, February.

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    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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