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Measuring Brand Preferences Among U.S. Meat Consumers with Probit Models

Author

Listed:
  • Ward, Ronald W.
  • Ferrara, Oscar
Abstract
Probit models based on household diaries show the likelihood for buying beef, fish, pork and poultry by brand. Brand preferences for each meat type are estimated and the impacts of a range of variables are ranked according to the likelihood of buying branded meats.

Suggested Citation

  • Ward, Ronald W. & Ferrara, Oscar, 2005. "Measuring Brand Preferences Among U.S. Meat Consumers with Probit Models," 2005 Annual meeting, July 24-27, Providence, RI 19462, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea05:19462
    DOI: 10.22004/ag.econ.19462
    as

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    File URL: https://ageconsearch.umn.edu/record/19462/files/sp05wa02.pdf
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    References listed on IDEAS

    as
    1. Medina, Sara & Ward, Ronald W., 1999. "A Model Of Retail Outlet Selection For Beef," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 2(2), pages 1-25.
    2. Wim Verbeke & Ronald W. Ward & Jacques Viaene, 2000. "Probit analysis of fresh meat consumption in Belgium: Exploring BSE and television communication impact," Agribusiness, John Wiley & Sons, Ltd., vol. 16(2), pages 215-234.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Ward, Ronald W., 2010. "Understanding the U.S. Generic Advertising System and Its Role in Information Management Among Commodities and Food Systems," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 1(3), pages 1-8, October.
    2. Martinez, Stephen W. & Hanagriff, Roger D. & Lau, Michael H. & Harris, James Michael, 2007. "Factors Affecting Demand for Branded Beef," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34885, Southern Agricultural Economics Association.

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    Keywords

    Consumer/Household Economics;

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