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Analyses of consumers' dietary behavior: An application of the AIDS model to supermarket scanner data

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  • Eugene Jones

    (Department of Agricultural, Environmental, and Development Economics, The Ohio State University, 2120 Fyffe Road, Columbus, OH 43210. E-mail: Jones.73@osu.edu)

  • Cuma Akbay

    (Department of Agricultural Economics, Sutcu Iman University, Kahraman Maras, Turkey)

  • Brian Roe

    (Department of Agricultural, Environmental, and Development Economics, The Ohio State University, 2120 Fyffe Road, Columbus, OH 43210)

  • Wen S. Chern

    (Department of Agricultural, Environmental, and Development Economics, The Ohio State University, 2120 Fyffe Road, Columbus, OH 43210)

Abstract

Nationwide food consumption surveys often find no difference in the diets of lower and higher income Americans, while studies of particular food commodities find major differences. These contrasting results represent a consumption paradox. We attempt to gain an understanding of this paradox by using supermarket scanner data to examine food purchases and, by extension, consumption patterns for consumers in two, geographically distinct, income areas. These areas are part of the larger Columbus, OH, metropolitan area (CMA) and six stores are selected for purchase and consumption analyses-three from the lowest income areas of the CMA and three from the highest income areas. Seven product categories are analyzed in this study and these categories are subdivided into meaningful nutritional classes. An Almost Ideal Demand System is employed and the empirical results reveal major differences in consumption behavior for the two groups. [EconLit citations: D120 and D190.] © 2003 Wiley Periodicals, Inc. Agribusiness 19: 203-221, 2003.

Suggested Citation

  • Eugene Jones & Cuma Akbay & Brian Roe & Wen S. Chern, 2003. "Analyses of consumers' dietary behavior: An application of the AIDS model to supermarket scanner data," Agribusiness, John Wiley & Sons, Ltd., vol. 19(2), pages 203-221.
  • Handle: RePEc:wly:agribz:v:19:y:2003:i:2:p:203-221
    DOI: 10.1002/agr.10050
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    References listed on IDEAS

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    1. Heien, Dale & Durham, Cathy, 1991. "A Test of the Habit Formation Hypothesis Using Household Data," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 189-199, May.
    2. Eugene Jones & Barry W. Mustiful & Wen S. Chern, 1994. "Estimating demand elasticities for cereal products: A socioeconomic approach using scanner data," Agribusiness, John Wiley & Sons, Ltd., vol. 10(4), pages 325-339.
    3. Pollak, Robert A & Wales, Terence J, 1978. "Estimation of Complete Demand Systems from Household Budget Data: The Linear and Quadratic Expenditure Systems," American Economic Review, American Economic Association, vol. 68(3), pages 348-359, June.
    4. Blanciforti, Laura & Green, Richard, 1983. "An Almost Ideal Demand System Incorporating Habits: An Analysis of Expenditures on Food and Aggregate Commodity Groups," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 511-515, August.
    5. Adolf Buse & Wing H Chan, 2000. "Invariance, price indices and estimation in almost ideal demand systems," Empirical Economics, Springer, vol. 25(3), pages 519-539.
    6. Eugene Jones, 1997. "An Analysis of Consumer Food Shopping Behavior Using Supermarket Scanner Data: Differences by Income and Location," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(5), pages 1437-1443.
    7. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    Cited by:

    1. Reshmita Nath & Yibo Luan & Wangming Yang & Chen Yang & Wen Chen & Qian Li & Xuefeng Cui, 2015. "Changes in Arable Land Demand for Food in India and China: A Potential Threat to Food Security," Sustainability, MDPI, Open Access Journal, vol. 7(5), pages 1-27, April.
    2. Rahkovsky, Ilya & Gregory, Christian A., 2013. "Food prices and blood cholesterol," Economics & Human Biology, Elsevier, vol. 11(1), pages 95-107.
    3. Cao, Li†Juan & Tian, Wei†Ming & Wang, Ji†Min & Malcolm, Bill & Liu, Hong†Bo & Zhou, Zhang†Yue, 2013. "Recent Food Consumption Trends in China and Trade," Australasian Agribusiness Review, University of Melbourne, Melbourne School of Land and Environment, vol. 21.
    4. Zhou, Zhang-Yue, 2003. "Feed versus Food: The Future Challenge and Balance for Farming," Conference Proceedings 2003 124016, Crawford Fund.
    5. Ishdorj, Ariun & Jensen, Helen H., 2008. "Bayesian Estimation of a Censored AIDS Model for Whole Grain Products," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6075, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Cuma Akbay & Gulgun Yildiz Tiryaki, 2008. "Unpacked and packed fluid milk consumption patterns and preferences in Turkey," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 9-20, January.

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