IDEAS home Printed from https://ideas.repec.org/a/wly/agribz/v10y1994i4p325-339.html
   My bibliography  Save this article

Estimating demand elasticities for cereal products: A socioeconomic approach using scanner data

Author

Listed:
  • Eugene Jones

    (Department of Agricultural Economics, The Ohio State University)

  • Barry W. Mustiful

    (Department of Agricultural Economics, The Ohio State University)

  • Wen S. Chern

    (Department of Agricultural Economics, The Ohio State University)

Abstract

Scanner data are used to estimate demand elasticities for breakfast cereals in two socioeconomic areas. Five groups of cereals are identified and the own-price elasticities for four of these are negative, statistically significant, and in the elastic range. A fifth group, snack cereals, is shown to have a statistically insignificant own-price elasticity and this is hypothesized to be related to impulse buying. Lower-income shoppers are more inclined to purchase the lowest-priced products within a product group; they are also more predisposed to select purchases from lower-priced product groups. Lower-income shoppers purchase private label cereals with twice the frequency of higher-income shoppers. ©1994 by John Wiley & Sons, Inc.

Suggested Citation

  • 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.
    • Handle: RePEc:wly:agribz:v:10:y:1994:i:4:p:325-339
    DOI: 10.1002/1520-6297(199407/08)10:4<325::AID-AGR2720100406>3.0.CO;2-H
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. 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.
    2. McLaughlin, Edward W. & Lesser, William H., 1986. "Experimental Price Variability and Consumer Response: Tracking Potato Sales with Scanners," Staff Papers 186131, Cornell University, Department of Applied Economics and Management.
    3. 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.
    4. Hoy F. Carman & Enrique E. Figueroa, 1986. "An analysis of factors associated with weekly food store sales variation," Agribusiness, John Wiley & Sons, Ltd., vol. 2(3), pages 375-390.
    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. Eugene Jones & Cuma Akbay & Brian Roe & Wen S. Chern, 2003. "Analyses of consumers' dietary behavior: An application of the AIDS model to supermarket scanner data," Agribusiness, John Wiley & Sons, Ltd., vol. 19(2), pages 203-221.
    2. Vickner, Steven S. & Davies, Stephen P. & Fulton, Joan R. & Vantreese, Valerie L., 2000. "Estimating Market Power And Pricing Conduct For Private-Label And National Brands In A Product-Differentiated Oligopoly: The Case Of A Frozen Vegetable Market," Journal of Food Distribution Research, Food Distribution Research Society, vol. 31(2), pages 1-13, July.

    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. 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.
    2. Cotterill, Ronald W., 1994. "Scanner Data: New Opportunities For Demand And Competitive Strategy Analysis," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 23(2), pages 1-15, October.
    3. 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.
    4. Elliott, Mike & van Zyl, Johan, 1991. "Scanner Data Analysis With Specific Reference To The South African Carbohydrate Market," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 30(2), June.
    5. Oral CAPPS, 1993. "Uses Of Supermarket Scan Data In Demand Analysis," Emerging Data Issues in Applied Food Demand Analysis; s21693capp01, S216, Food Demand and Consumption Behavior Regional Committee.
    6. Eastwood, David B. & Gray, Morgan D. & Brooker, John R., 1991. "Forecasting Item Movement With Scan Data: Box-Jenkins Results," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 20(1), pages 1-10, April.
    7. 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.
    8. Seo, Seong-Cheon & Capps, Oral, Jr., 1997. "Testing For Store-Level Differences In Factors Affecting Item Movement Of Prego And Ragu Spaghetti Sauces Using Point-Of-Sale Data," Journal of Food Distribution Research, Food Distribution Research Society, vol. 28(3), pages 1-12, October.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. Jones, Eugene, 2014. "An Empirical Assessment of Consumers’ Preferences for Coffee," Journal of Food Distribution Research, Food Distribution Research Society, vol. 45(2), pages 1-26, July.
    14. Douglas D. Parker, 1993. "Retail price response to quality characteristics of fresh peaches by store type," Agribusiness, John Wiley & Sons, Ltd., vol. 9(3), pages 205-215.
    15. Schroeder, Ted C. & Lusk, Jayson L., 2002. "Effects of Meat Recalls on Futures Market Prices," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 31(1), pages 1-12, April.
    16. Stockton, Matthew C. & Capps, Oral, Jr. & Bessler, David A., 2004. "Samuelson'S Full Duality And The Use Of Directed Acyclical Graphs: The Birth Of Causally Identified Demand Systems," 2004 Annual meeting, August 1-4, Denver, CO 19969, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Thompson, Gary D. & Wilson, Paul N., 1999. "Market Demands For Bagged, Refrigerated Salads," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(2), pages 1-19, December.
    18. Gould, Brian W., 1995. "Factors Affecting U.S. Demand For Reduced-Fat Milk," Staff Papers 12646, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    19. 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.
    20. Herrmann, Roland & Moeser, Anke, 2003. "Price Variability Or Rigidity In The Food-Retailing Sector? Theoretical Analysis And Evidence From German Scanner Data," Discussion Papers 26464, University of Giessen, Center for International Development and Environmental Research.

    More about this item

    Statistics

    Access and download statistics

    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:wly:agribz:v:10:y:1994:i:4:p:325-339. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1520-6297 .

    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.