FORECASTING ITEM MOVEMENT WITH SCAN DATA: BOX-JENKINS RESULTS

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dc.creatorEastwood, David B.
dc.creatorGray, Morgan D.
dc.creatorBrooker, John R.
dc.date2017-04-01T14:05:53Z
dc.date.accessioned2026-07-09T04:02:43Z
dc.descriptionPreliminary 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.
dc.identifierdoi:10.22004/ag.econ.28815
dc.identifierhttps://ageconsearch.umn.edu/record/28815/files/20010042.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/28815
dc.identifier.urihttp://hdl.handle.net/123456789/543989
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/28815
dc.titleFORECASTING ITEM MOVEMENT WITH SCAN DATA: BOX-JENKINS RESULTS
dc.typeText

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