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Food price policies and the distribution of body mass index: Theory and empirical evidence from France

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Fabrice Etilé

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Abstract

This paper uses French food-expenditure data to examine the e¤ect of the local prices of 23 food product categories on the distribution of Body Mass Index (BMI) in a sample of French adults. A dynamic choice model using standard assumptions in Physiology is developed. It is shown that the slope of the price-BMI relationship is a¤ected by the individual"s Phys- ical Activity Level (PAL). When the latter is unobserved, identi cation of price e¤ects at conditional quantiles of the BMI distribution requires quantile independence between PAL and the covariates, especially income. Using quantile regressions, unconditional BMI distributions can then be simulated for various price policies. In the preferred scenario, increasing the price of soft drinks, breaded proteins, deserts and pastries, snacks and ready-meals by 10%, and reducing the price of fruit and vegetables in brine by 10% would decrease the prevalence of overweight and obesity by 24% and 33% respectively. The fall in health care expenditures would represente up to 1.39% of total health care spendings in 2004.

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Paper provided by PSE (Ecole normale supérieure) in its series PSE Working Papers with number 2008-28.

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Date of creation: Apr 2008
Date of revision: Feb 2009
Handle: RePEc:pse:psecon:2008-28

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  1. Deaton, Angus, 1988. "Quality, Quantity, and Spatial Variation of Price," American Economic Review, American Economic Association, vol. 78(3), pages 418-30, June. [Downloadable!] (restricted)
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  2. Brian P. Poi, 2004. "From the help desk: Some bootstrapping techniques," Stata Journal, StataCorp LP, vol. 4(3), pages 312-328, September. [Downloadable!]
  3. David Cutler & Edward Glaeser & Jesse Shapiro, 2003. "Why Have Americans Become More Obese?," NBER Working Papers 9446, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  4. Schroeter, Christiane & Lusk, Jayson & Tyner, Wallace, 2008. "Determining the impact of food price and income changes on body weight," Journal of Health Economics, Elsevier, vol. 27(1), pages 45-68, January. [Downloadable!] (restricted)
  5. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January. [Downloadable!] (restricted)
  6. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August. [Downloadable!] (restricted)
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  7. Darius Lakdawalla & Tomas Philipson, 2002. "The Growth of Obesity and Technological Change: A Theoretical and Empirical Examination," NBER Working Papers 8946, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  8. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465. [Downloadable!]
  9. David Cutler & Edward Glaeser, 2005. "What Explains Differences in Smoking, Drinking and Other Health-Related Behaviors?," Harvard Institute of Economic Research Working Papers 2060, Harvard - Institute of Economic Research. [Downloadable!]
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  10. Chou, Shin-Yi & Grossman, Michael & Saffer, Henry, 2004. "An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System," Journal of Health Economics, Elsevier, vol. 23(3), pages 565-587, May. [Downloadable!] (restricted)
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  11. Inas Rashad & Michael Grossman & Shin-Yi Chou, 2006. "The Super Size of America: An Economic Estimation of Body Mass Index and Obesity in Adults," Eastern Economic Journal, Eastern Economic Association, vol. 32(1), pages 133-148, Winter. [Downloadable!]
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