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Forecasting Item Movement with Scan Data: Box-Jenkins Results

Published online by Cambridge University Press:  10 May 2017

David B. Eastwood ,
Morgan D. Gray  and
John R. Brooker
David B. Eastwood
Affiliation:
Department of Agricultural Economics and Rural Sociology, Agricultural Experiment Station, The University of Tennessee, Knoxville, TN
Morgan D. Gray
Affiliation:
Department of Agricultural Economics and Rural Sociology, Agricultural Experiment Station, The University of Tennessee, Knoxville, TN
John R. Brooker
Affiliation:
Department of Agricultural Economics and Rural Sociology, Agricultural Experiment Station, The University of Tennessee, Knoxville, TN
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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.

Type
Articles
Information
Northeastern Journal of Agricultural and Resource Economics , Volume 20 , Issue 1 , April 1991 , pp. 42 - 51
Copyright
Copyright © 1991 Northeastern Agricultural and Resource Economics Association 

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Footnotes

The authors wish to thank Dr. Daniel L. McLemore for his helpful comments on the research. However, responsibility for the paper rests with the authors.

References

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