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Estimation of a Dynamic Model of Weight

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

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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File URL: http://www.nber.org/papers/w15864.pdf
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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
Note: HC HE
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