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The Effect of Food-Away-from-Home and Food-at-Home Expenditures on Obesity Rates: A State-Level Analysis

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  • Cai, Yongxia
  • Alviola, Pedro A., IV
  • Nayga, Rodolfo M., Jr.
  • Wu, Ximing

Abstract

Using state-level data from the Behavioral Risk Factor Surveillance System, we investigate the effects of household food-away-from-home and food-at-home expenditures on overweight rates, obesity rates, and combined rates. Our random effects model estimates suggest that food-away-from-home expenditures are positively related to obesity and combined rates, while food-at-home expenditures are negatively related to obesity and combined rates. However, the magnitudes of these effects, while statistically significant, are relatively small. Both food-at-home and food-away-from-home expenditures do not significantly influence overweight rates.

Suggested Citation

  • Cai, Yongxia & Alviola, Pedro A., IV & Nayga, Rodolfo M., Jr. & Wu, Ximing, 2008. "The Effect of Food-Away-from-Home and Food-at-Home Expenditures on Obesity Rates: A State-Level Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(02), August.
  • Handle: RePEc:ags:joaaec:46990
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    References listed on IDEAS

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    1. Tomas J. Philipson & Richard A. Posner, 1999. "The Long-Run Growth in Obesity as a Function of Technological Change," Working Papers 9912, Harris School of Public Policy Studies, University of Chicago.
    2. Cameron,A. Colin & Trivedi,Pravin K., 2008. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9787111235767, May.
    3. Tomas Philipson, 2001. "The world-wide growth in obesity: an economic research agenda," Health Economics, John Wiley & Sons, Ltd., vol. 10(1), pages 1-7.
    4. 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.
    5. Darius Lakdawalla & Tomas Philipson, 2002. "The Growth of Obesity and Technological Change: A Theoretical and Empirical Examination," Working Papers 0203, Harris School of Public Policy Studies, University of Chicago.
    6. Rashad, Inas, 2006. "Structural estimation of caloric intake, exercise, smoking, and obesity," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 268-283, May.
    7. Maria L. Loureiro & Rodolfo M. Nayga, 2005. "International Dimensions of Obesity and Overweight Related Problems: An Economics Perspective," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1147-1153.
    8. Gruber, Jonathan & Frakes, Michael, 2006. "Does falling smoking lead to rising obesity?," Journal of Health Economics, Elsevier, vol. 25(2), pages 183-197, March.
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    Cited by:

    1. Ellison, Brenna & Lusk, Jayson L. & Davis, David, 2014. "The Effect of Calorie Labels on Caloric Intake and Restaurant Revenue: Evidence from Two Full-Service Restaurants," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 46(02), pages 173-191, May.

    More about this item

    Keywords

    food-at-home expenditures; food-away-from-home expenditures; obesity; overweight; random effects model; state-level analysis; Agribusiness; Food Consumption/Nutrition/Food Safety; I18;

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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