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Food Price Policies and the Distribution of Body Mass Index: Theory and Empirical Evidence from France

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Etilé, F

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Abstract

This paper uses French food expenditures data to examine the e¤ect of the prices of 23 food product categories on the distribution of Body Mass Index (BMI) in a sample of French adults. A dynamic choice model that uses standard assumptions from Physiology is developed. It is shown that the slope of the price-BMI relationship is a¤ected by the individual’s Physical 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. Then, using quantile regression results, unconditional BMI distributions can be simulated for various price policies. It is found that increasing the price of beverages, fats and sugars and sweets by 10%, and decreasing the price of fruits and vegetables by 10% would reduce the prevalence of overweight and obesity by 5 and 7 percentage points respectively. Correspondance : Fabrice Etilé, etile@ivry.inra.fr; INRA, UR 1303 - ALISS, 65 rue de Brandebourg, F-94205 Ivry-sur-Seine. I am grateful to Christine Boizot-Szantai for research assistance, to Olivier Allais, Arnaud Basdevant, Pierre Dubois, Sébastien Lecocq and Anne- Laure Samson for discussions and suggestions, and to seminar participants at the 2005 EAAE Congress (Copenhaguen), INRA-IDEI (Toulouse), INRA-GAEL (Grenoble), York Seminar in Health Econometrics (U.York), INRA-EC (Blois), JESF 2007 (Lille), SFER conference (Paris), and Erasmus School of Economics (Rotterdam) for helpful comments on various versions of this paper.

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Paper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 08/10.

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Date of creation: May 2008
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Handle: RePEc:yor:hectdg:08/10

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  5. 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!]
  6. 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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  7. Brian P. Poi, 2004. "From the help desk: Some bootstrapping techniques," Stata Journal, StataCorp LP, vol. 4(3), pages 312-328, September. [Downloadable!]
  8. 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)
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  11. 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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  12. 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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