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Estimation Of Household Brand-Size Choice Models For Spaghetti Products With Scanner Data


  • Park, Changwon
  • Senauer, Benjamin


The A.C. Nielson household scanner panel is used to analyze factors affecting brand-size choices for spaghetti. These data link product purchases, which are scanned, with household demographics and market information on the store where purchased. A multinominal logit model and a nested logit model are specified and estimated. In addition to the effects of inventory and brand loyalty, the most interesting results relate to the price elasticities of choice probabilities. These elasticities are much more elastic than those found in traditional food demand analysis. Different brands and sizes of spaghetti products on the same supermarket shelf are very close substitutes for the consumer.

Suggested Citation

  • Park, Changwon & Senauer, Benjamin, 1996. "Estimation Of Household Brand-Size Choice Models For Spaghetti Products With Scanner Data," Working Papers 14336, University of Minnesota, The Food Industry Center.
  • Handle: RePEc:ags:umrfwp:14336
    DOI: 10.22004/ag.econ.14336

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    References listed on IDEAS

    1. Oral Capps & Rodolfo M. Nayga, 1991. "Demand for fresh beef products in supermarkets: A trial with scanner data," Agribusiness, John Wiley & Sons, Ltd., vol. 7(3), pages 241-251.
    2. McFadden, Daniel L., 1984. "Econometric analysis of qualitative response models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 24, pages 1395-1457, Elsevier.
    3. Capps, Oral & Lambregts, Johannes Adrianus, 1991. "Assessing Effects of Prices and Advertising on Purchases of Finfish and Shellfish in a Local Market in Texas," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 23(1), pages 181-194, July.
    4. Capps, Oral, Jr. & Lambregts, Johannes Adrianus, 1991. "Assessing Effects Of Prices And Advertising On Purchases Of Finfish And Shellfish In A Local Market In Texas," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 23(1), pages 1-14, July.
    5. Huang, Kuo S., 1985. "U.S. Demand for Food: A Complete System of Price and Income Effects," Technical Bulletins 157014, United States Department of Agriculture, Economic Research Service.
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    Cited by:

    1. Senauer, Benjamin, 2001. "The Food Consumer In The 21st Century: New Research Perspectives," Working Papers 14346, University of Minnesota, The Food Industry Center.
    2. Stockton, Matthew C. & Capps, Oral, Jr., 2005. "Demand System Analysis With Emphasis On Container Sizes Of Non-Alcoholic Beverages," 2005 Annual meeting, July 24-27, Providence, RI 19137, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Goddard, Ellen W. & Boxall, Peter C. & Emunu, John Paul & Boyd, Curtis & Asselin, Andre & Neall, Amanda, 2007. "Consumer Attitudes, Willingness to Pay and Revealed Preferences for Different Egg Production Attributes: Analysis of Canadian Egg Consumers," Project Report Series 52087, University of Alberta, Department of Resource Economics and Environmental Sociology.


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