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Estimation of a dynamic model of weight

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  • Shu Ng

    ()

  • Edward Norton

    ()

  • David Guilkey

    ()

  • Barry 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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Bibliographic Info

Article provided by Springer in its journal Empirical Economics.

Volume (Year): 42 (2012)
Issue (Month): 2 (April)
Pages: 413-443

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Handle: RePEc:spr:empeco:v:42:y:2012:i:2:p:413-443

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Keywords: Dynamic panel model; Weight; Physical activity; Diet; Urbanicity; Price; China; C33; C50; I12; D00; O12;

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References

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Cited by:
  1. 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.
  2. 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.

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