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Forecasting Item Movement With Scan Data: Box-Jenkins Results

Author

Listed:
  • Eastwood, David B.
  • Gray, Morgan D.
  • Brooker, John R.

Abstract

Preliminary forecasts using the Box-Jenkins methodology for supermarket scan data for ground beef and roast item movement are described. The functional form and the accuracy of the forecasts vary by product. Results suggest that further analyses incorporating price and advertising may increase the accuracy of the forecasts.

Suggested Citation

  • 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), April.
  • Handle: RePEc:ags:nejare:28815
    as

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    File URL: http://purl.umn.edu/28815
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    References listed on IDEAS

    as
    1. Granger, C. W. J. & Newbold, Paul, 1986. "Forecasting Economic Time Series," Elsevier Monographs, Elsevier, edition 2, number 9780122951831 edited by Shell, Karl.
    2. 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.
    3. 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.
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