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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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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 15864.

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Date of creation: Apr 2010
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Publication status: published as Shu Ng & Edward Norton & David Guilkey & Barry Popkin, 2012. "Estimation of a dynamic model of weight," Empirical Economics, Springer, vol. 42(2), pages 413-443, April.
Handle: RePEc:nbr:nberwo:15864

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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, International Association of Agricultural Economists 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, Elsevier, vol. 12(C), pages 30-44.

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