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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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    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.
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    Cited by:

    1. 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.
    2. 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.
    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. 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.

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