IDEAS home Printed from https://ideas.repec.org/p/ags/aare93/147767.html
   My bibliography  Save this paper

Scanner Data in Supermarkets: Untapped Data Source for Agricultural Economists

Author

Listed:
  • Nayga, Rodolfo M., Jr.

Abstract

Scanner data from supermarkets constitute a nontraditional data source for economic applications. Few agricultural economists have used scanner data in market or economic research. This paper addresses the benefits and problems associated with the use of scanner data in research. The relevant literature in the agricultural economics field is reviewed and some implications for further research are discussed.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Nayga, Rodolfo M., Jr., 1993. "Scanner Data in Supermarkets: Untapped Data Source for Agricultural Economists," 1993 Conference (37th), February 9-11, 1993, Sydney, Australia 147767, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare93:147767
    DOI: 10.22004/ag.econ.147767
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/147767/files/1993-08-18.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.147767?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
    ---><---

    Other versions of 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. 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. James S. Eales & Laurian J. Unnevehr, 1988. "Demand for Beef and Chicken Products: Separability and Structural Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 521-532.
    4. William G. Tomek, 1985. "Limits on Price Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(5), pages 905-915.
    5. 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.
    6. 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.
    7. T. F. Funk & Karl D. Meilke & H. Bruce Huff, 1977. "Effects of Retail Pricing and Advertising on Fresh Beef Sales," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(3), pages 533-537.
    8. Huang, Kuo S & Haidacher, Richard C, 1983. "Estimation of a Composite Food Demand System for the United States," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(4), pages 285-291, October.
    9. Oral Capps Jr. & Rodolfo M. Nayga Jr., 1990. "Effect of Length of Time on Measured Demand Elasticities: The Problem Revisited," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 38(3), pages 499-512, November.
    10. S. E. Pudney, 1981. "An Empirical Method of Approximating the Separable Structure of Consumer Preferences," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 48(4), pages 561-577.
    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. Kehar Singh & Madan M. Dey & Prasanna Surathkal, 2014. "Seasonal and Spatial Variations in Demand for and Elasticities of Fish Products in the United States: An Analysis Based on Market-Level Scanner Data," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 62(3), pages 343-363, September.
    2. Nayga, Rodolfo M., Jr., 1998. "Consumer Characteristics Associated With Low Fat, Low Cholesterol Foods," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 1(1), pages 1-9.
    3. repec:ags:aaea22:335766 is not listed on IDEAS
    4. 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.
    5. 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.
    6. 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.
    7. Owen, Kate M. & Griffith, Garry R. & Wright, Vic, 2002. "One little Lebanese cucumber is not going to break the bank: Price in the choice of fresh fruits and vegetables," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 46(2), pages 1-23.

    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. 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.
    2. 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.
    3. Kehar Singh & Madan M. Dey & Prasanna Surathkal, 2014. "Seasonal and Spatial Variations in Demand for and Elasticities of Fish Products in the United States: An Analysis Based on Market-Level Scanner Data," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 62(3), pages 343-363, September.
    4. 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.
    5. 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.
    6. 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.
    7. Kesavan, Thulasiram, 1988. "Monte Carlo experiments of market demand theory," ISU General Staff Papers 198801010800009854, Iowa State University, Department of Economics.
    8. 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.
    9. Namken, Jerry C. & Farris, Donald E. & Capps, Oral, Jr., 1997. "The Demand For Wholesale Beef Cuts By Season And Trend," Journal of Food Distribution Research, Food Distribution Research Society, vol. 25(2), pages 1-15, September.
    10. Farris, Donald E. & Holloway, David W., 1990. "Demand Trends for Beef Cuts--by Quality, Convenience, and Season," 1990 Annual meeting, August 5-8, Vancouver, Canada 271040, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. 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.
    12. 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.
    13. Capps, Oral & Seo, Seong-Cheon & Nichols, John P., 1997. "On the Estimation of Advertising Effects for Branded Products: An Application to Spaghetti Sauces," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 29(2), pages 291-302, December.
    14. Lanfranco, Bruno A. & Ames, Glenn C.W. & Huang, Chung L., 2001. "Comparisons Of Hispanic Households' Demand For Meat With Other Ethnic Groups," Faculty Series 16710, University of Georgia, Department of Agricultural and Applied Economics.
    15. 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.
    16. Unknown, 1990. "Structural Change in Livestock: Causes, Implications, Alternatives," Research Institute on Livestock Pricing 232728, Virginia Polytechnic Institute and State University, Department of Agricultural and Applied Economics.
    17. 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.
    18. 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.
    19. Leister, Amanda M. & Capps, Oral, Jr. & Rosson, C. Parr, III, 2010. "The Economic Effects of New-Product Beef Promotion in Guatemala," Journal of Food Distribution Research, Food Distribution Research Society, vol. 41(2), pages 1-11, July.
    20. Cox, Thomas L. & Chavas, Jean-Paul, 1989. "A Nonparametric Analysis of the Structure and Stability of Preferences: U.S. Food Consumption 1964-1983," Staff Papers 200472, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.

    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:aare93:147767. 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/aaresea.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.