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Demand Relationships Among Juice Beverages: A Differential Demand System Approach

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  • Brown, Mark G.
  • Lee, Jonq-Ying
  • Seale, James L., Jr.

Abstract

Nielsen ScanTrack data were used to study how income and prices influenced consumer juice beverage demand in the United States during the period from 1988-89 through 1991-92. Alternative differential demand models combining the features of the Rotterdam model and the almost ideal demand system (AIDS) were tested. Results indicate the CBS type demand responses describe consumer behavior better than the other specifications for this particular data. set.

Suggested Citation

  • Brown, Mark G. & Lee, Jonq-Ying & Seale, James L., Jr., 1994. "Demand Relationships Among Juice Beverages: A Differential Demand System Approach," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 26(02), December.
  • Handle: RePEc:ags:joaaec:15164
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    References listed on IDEAS

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    Cited by:

    1. Bergtold, Jason S. & Akobundu, Eberechukwu & Peterson, Everett B., 2004. "The FAST Method: Estimating Unconditional Demand Elasticities for Processed Foods in the Presence of Fixed Effects," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(02), August.
    2. Abderraouf Laajimi & Boubaker Dhehibi & José Maria Gil, 2003. "The structure of food demand in Tunisai: a differential system approach," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 66, pages 55-77.
    3. Yeboah, Godfred & Maynard, Leigh J., 2004. "The Impact Of Bse, Fmd, And U.S. Export Promotion Expenditures On Japanese Meat Demand," 2004 Annual meeting, August 1-4, Denver, CO 19978, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Okrent, Abigail M. & Alston, Julian M., 2011. "Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," Monographs, University of California, Davis, Giannini Foundation, number 251908.
    5. Michael A. Trousdale & Richard A. Dunn, 2014. "Demand for Lottery Gambling: Evaluating Price Sensitivity Within a Portfolio of Lottery Games," National Tax Journal, National Tax Association;National Tax Journal, vol. 67(3), pages 595-620, September.
    6. Okrent, Abigail M. & Alston, Julian M., 2012. "The Demand for Disaggregated Food-Away-from-Home and Food-at-Home Products in the United States," Economic Research Report 132469, United States Department of Agriculture, Economic Research Service.
    7. Maynard, Leigh J. & Veeramani, Venkat N., 2003. "Price Sensitivities for U.S. Frozen Dairy Products," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(03), December.
    8. Knight, Erika P. & House, Lisa & Lee, Jonq-Ying & Spreen, Thomas H., 2008. "Are Fruit Juice Categories Separable?," 110th Seminar, February 18-22, 2008, Innsbruck-Igls, Austria 49878, European Association of Agricultural Economists.
    9. Bergtold, Jason S. & Peterson, Everett B., 2005. "Introducing Asymmetric Separability in the FAST Multistage Demand System," 2005 Annual meeting, July 24-27, Providence, RI 19497, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Feleke, Shiferaw T. & Liu, Hongyan, 2005. "Aggregate Demand for Imported Whole Milk in Spain: Implications for the European Union (EU)," Journal of Food Distribution Research, Food Distribution Research Society, vol. 36(02), July.
    11. Maynard, Leigh J. & Liu, Deyu, 1999. "Fragility In Dairy Product Demand Analysis," 1999 Annual meeting, August 8-11, Nashville, TN 21679, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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