IDEAS home Printed from https://ideas.repec.org/p/ags/umrfwp/14336.html
   My bibliography  Save this paper

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

Author

Listed:
  • Park, Changwon
  • Senauer, Benjamin

Abstract

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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/14336/files/tr96-01.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.14336?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    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, 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.
    4. Oral Capps, 1989. "Utilizing Scanner Data to Estimate Retail Demand Functions for Meat Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 750-760.
    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.
    6. 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.
    7. Udo Wagner & Alfred Taudes, 1986. "A Multivariate Polya Model of Brand Choice and Purchase Incidence," Marketing Science, INFORMS, vol. 5(3), pages 219-244.
    8. Randolph E. Bucklin & James M. Lattin, 1991. "A Two-State Model of Purchase Incidence and Brand Choice," Marketing Science, INFORMS, vol. 10(1), pages 24-39.
    9. Blanciforti, Laura Ann & Green, Richard, 1983. "The Almost Ideal Demand System: A Comparison and Application to Food Groups," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 35(3), pages 1-10, July.
    10. Frank M. Bass & Moshe M. Givon & Manohar U. Kalwani & David Reibstein & Gordon P. Wright, 1984. "An Investigation into the Order of the Brand Choice Process," Marketing Science, INFORMS, vol. 3(4), pages 267-287.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Stockton, Matthew C., 2005. "A Demand System Analysis With Emphasis On Container Size Of Fluid Milk," A.E. Research Series 305036, University of Idaho, Department of Agricultural Economics and Rural Sociology.
    4. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ehrenberg, Andrew S. C. & Uncles, Mark D. & Goodhardt, Gerald J., 2004. "Understanding brand performance measures: using Dirichlet benchmarks," Journal of Business Research, Elsevier, vol. 57(12), pages 1307-1325, December.
    2. Hellali, Wajdi & Kallas, Zein & Gil, José María, 2015. "Consumer’s revealed preferences for yogurt purchase in Catalonia: A Generalized Multinomial Logit Approach," 148th Seminar, November 30-December 1, 2015, The Hague, The Netherlands 229263, European Association of Agricultural Economists.
    3. Nayga, Rodolfo M., Jr., 1992. "Scanner Data in Supermarkets: Untapped Data Source for Agricultural Economists," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 60(02), pages 1-8, August.
    4. Green, Geoffrey M. & Park, John L., 1998. "New Insights Into Supermarket Promotions Via Scanner Data Analysis: The Case Of Milk," Journal of Food Distribution Research, Food Distribution Research Society, vol. 29(3), pages 1-10, November.
    5. Green, Geoffrey M. & Park, John L., 1998. "Retail Demand For Whole Vs. Low-Fat Milk: New Perspectives On Loss Leader Pricing," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20827, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Richards, Timothy J. & Patterson, Paul M., 1999. "The Impact Of Promotion And Advertising On Choice Of Fruit Category And Apple Variety: A Latent-Class Approach," 1999 Annual meeting, August 8-11, Nashville, TN 21627, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Dennis Fok & Richard Paap & Philip Hans Franses, 2014. "Incorporating Responsiveness to Marketing Efforts in Brand Choice Modeling," Econometrics, MDPI, vol. 2(1), pages 1-25, February.
    8. AOUINI, Syrine & Gil, Jose M., 2017. "Innovation and Brand Effects on the Consumers’ Demand for Fresh Milk in Spain," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258131, Agricultural and Applied Economics Association.
    9. Moon, Sangkil & Voss, Glenn, 2009. "How do price range shoppers differ from reference price point shoppers?," Journal of Business Research, Elsevier, vol. 62(1), pages 31-38, January.
    10. Peter M. Guadagni & John D. C. Little, 2008. "Commentary—A Logit Model of Brand Choice Calibrated on Scanner Data: A 25th Anniversary Perspective," Marketing Science, INFORMS, vol. 27(1), pages 26-28, 01-02.
    11. Gázquez-Abad, Juan Carlos & Martínez-López, Francisco J., 2016. "Understanding the impact of store flyers on purchase behaviour: An empirical analysis in the context of Spanish households," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 263-273.
    12. 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.
    13. Juin-Kuan Chong & Teck-Hua Ho & Christopher S. Tang, 2001. "A Modeling Framework for Category Assortment Planning," Manufacturing & Service Operations Management, INFORMS, vol. 3(3), pages 191-210, January.
    14. Nitin Mehta, 2007. "Investigating Consumers' Purchase Incidence and Brand Choice Decisions Across Multiple Product Categories: A Theoretical and Empirical Analysis," Marketing Science, INFORMS, vol. 26(2), pages 196-217, 03-04.
    15. Rutger Oest, 2005. "Which Brands Gain Share from Which Brands? Inference from Store-Level Scanner Data," Quantitative Marketing and Economics (QME), Springer, vol. 3(3), pages 281-304, September.
    16. Eugene Jones, 1997. "Consumer demand for carbohydrates: A look across products and income classes," Agribusiness, John Wiley & Sons, Ltd., vol. 13(6), pages 599-612.
    17. Jones, Eugene & Chern, Wen S. & Mustiful, Barry K., 1994. "Are Lower-Income Shoppers As Price Sensitive As Higher-Income Ones?: A Look At Breakfast Cereals," Journal of Food Distribution Research, Food Distribution Research Society, vol. 25(1), pages 1-11, February.
    18. Yina Lu & Andrés Musalem & Marcelo Olivares & Ariel Schilkrut, 2013. "Measuring the Effect of Queues on Customer Purchases," Management Science, INFORMS, vol. 59(8), pages 1743-1763, August.
    19. Wu, Couchen & Chen, Hsiu-Li, 2000. "Counting your customers: Compounding customer's in-store decisions, interpurchase time and repurchasing behavior," European Journal of Operational Research, Elsevier, vol. 127(1), pages 109-119, November.
    20. 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, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:umrfwp:14336. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/rfumnus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.