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Taste Changes in the Demand for Food by Demographic Groups in the United States: A Nonparametric Empirical Analysis

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  • Rafael Cortez
  • Ben Senauer

Abstract

This study uses nonparametric techniques to analyze the stability of demand for nineteen major food categories among various demographic groups in the United States. Households are divided into population groups by income, the head's age, and the spouse's education level. The data used are from the 1980–90 “Diary” portion of the Bureau of Labor Statistics's annual Consumer Expenditure Survey. The programming model developed by Sakong and Hayes, with the modifications suggested by Chalfant and Zhang, is used to test for and measure taste changes. Substantial differences in preference trends between population groups are found for many of the food commodities. Copyright 1996, Oxford University Press.

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  • Rafael Cortez & Ben Senauer, 1996. "Taste Changes in the Demand for Food by Demographic Groups in the United States: A Nonparametric Empirical Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 280-289.
  • Handle: RePEc:oup:ajagec:v:78:y:1996:i:2:p:280-289
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    6. Yong Sakong & Dermot J. Hayes, 1993. "Testing the Stability of Preferences: A Nonparametric Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 269-277.
    7. Choi, Seungmook & Sosin, Kim, 1992. "Structural Change in the Demand for Money," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 24(2), pages 226-238, May.
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    9. Alston, Julian M. & Chalfant, James A., 1992. "Consumer Demand Analysis According To Garp," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 21(2), pages 1-15, October.
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    2. Dong, Fengxia & Fuller, Frank H., 2004. "Testing For Separability And Structural Change In Urban Chinese Food Demand," 2004 Annual meeting, August 1-4, Denver, CO 19923, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Corinna Manig & Alessio Moneta, 2014. "More or better? Measuring quality versus quantity in food consumption," Journal of Bioeconomics, Springer, vol. 16(2), pages 155-178, July.
    4. Wilson, Christine A. & Marsh, Thomas L., 2005. "The Impacts Of Demographics And Health Information On Meat Demand," Staff Papers 28671, Purdue University, Department of Agricultural Economics.
    5. Wen S. CHERN & Ben SENAUER, 1993. "Pooled Time-Series And Cross-Section Data From The Consumer Expenditure Survey," Emerging Data Issues in Applied Food Demand Analysis; s21693cher01, S216, Food Demand and Consumption Behavior Regional Committee.
    6. Mauricio V.L. Bittencourt & Ratapol P. Teratanavat & Wen S. Chern, 2007. "Food consumption and demographics in Japan: Implications for an aging population," Agribusiness, John Wiley & Sons, Ltd., vol. 23(4), pages 529-551.
    7. Senauer, Benjamin, 2001. "The Food Consumer In The 21st Century: New Research Perspectives," Working Papers 14346, University of Minnesota, The Food Industry Center.
    8. Bittencourt, Maurício Vaz Lobo & Teratanavat, Ratapol P. & Chern, Wen S., 2004. "Examining Food Consumption In Japan Under Life-Cycle Hypothesis: Implication From Cross-Sectional Data," 2004 Annual meeting, August 1-4, Denver, CO 20070, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. San Miguel, Fernando & Ryan, Mandy & Scott, Anthony, 2002. "Are preferences stable? The case of health care," Journal of Economic Behavior & Organization, Elsevier, vol. 48(1), pages 1-14, May.
    10. Moutou, Christele & Brester, Gary W., 1998. "Trends In U.S. Wheat-Based Food Consumption: Nutrition, Convenience, And Ethnic Foods," Journal of Food Distribution Research, Food Distribution Research Society, vol. 29(2), pages 1-14, July.
    11. Stefan Mann & Daria Loginova, 2023. "Distinguishing inter- and pangenerational food trends," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-18, December.
    12. Kehlbacher, Ariane & Arnoult, Matthieu & Srinivasan, Chittur & McCloy, Rachel & Tiffin, Richard, 2015. "Food preference segmentation using an AIDS mixture: An application to the UK," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205461, Agricultural and Applied Economics Association.
    13. Kinsey, Jean D. & Senauer, Benjamin & Jonk, Yvonne, 1995. "CONSUMER PERCEPTIONS, SAFETY, AND HEALTH CONCERNS; Proceedings of the 4th Minnesota Padova Conference on Food, Agriculture, and the Environment, September 4-10, 1994, Wayzata, MN," Working Papers 14421, University of Minnesota, Center for International Food and Agricultural Policy.
    14. Chalfant, James A. & Eshel, Dafna M. Disegni, 2001. "A Nonparametric Test Of Advertising'S Effectiveness," 2001 Annual meeting, August 5-8, Chicago, IL 20529, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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