FORECASTING ITEM MOVEMENT WITH SCAN DATA: BOX-JENKINS RESULTS Report as inadecuate




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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.

Subject(s): Food Consumption/Nutrition/Food Safety

Marketing

Issue Date: 1991-04

Publication Type: Journal Article

PURL Identifier: http://purl.umn.edu/28815 Published in: Northeastern Journal of Agricultural and Resource Economics, Volume 20, Number 1 Page range: 42-51

Total Pages: 10

Record appears in: Northeastern Agricultural and Resource Economics Association (NAREA) > Northeastern Journal of Agricultural and Resource Economics





Author: Eastwood, David B. ; Gray, Morgan D. ; Brooker, John R.

Source: http://ageconsearch.umn.edu/record/28815?ln=en







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