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Scanner Data in Supermarkets: Untapped Data Source for Agricultural Economists

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  • 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.
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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
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    File URL: https://ageconsearch.umn.edu/record/147767/files/1993-08-18.pdf
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    1. is not listed on IDEAS
    2. 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.
    3. 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(01), pages 1-9.
    4. repec:ags:aaea22:335766 is not listed on IDEAS
    5. 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.
    6. 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.
    7. 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.
    8. Rigotti, Luca & LeRoux, Matthew N. & Schmit, Todd M., 2023. "Improving Farmers Market Returns for Meat Vendors using Point-of-Sale Customer Data," 2023 Annual Meeting, July 23-25, Washington D.C. 335766, Agricultural and Applied Economics Association.
    9. 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.

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