Modeling demand structure using scanner data: Implications for salmon enhancement policies
In analyzing demand structures, one is often forced to overlook the possibility of instability of parameters, due to a lack of appropriate data. This article utilizes panel data consisting of scanner (Universal Product Code) data to estimate a random coefficient model which allows testing the stability of canned salmon demand across 34 US cities from 1988 through 1992. The results provide marketing strategies for the industry and implications for publicly funded salmon enhancement policies. [Econ-Lit citations: Q22, L66, D61] © 1999 John Wiley & Sons, Inc.
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Volume (Year): 15 (1999)
Issue (Month): 4 ()
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Cotterill, Ronald W., 1994. "Scanner Data: New Opportunities For Demand And Competitive Strategy Analysis," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 23(2), October.
- Hausman, Jerry A, 1978.
"Specification Tests in Econometrics,"
Econometric Society, vol. 46(6), pages 1251-71, November.
- Holland, Daniel S. & Roheim, Cathy A., 1998. "Predicting Consumer Preferences For Fresh Salmon: The Influence Of Safety Inspection And Production Method Attributes," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 27(1), April.
- D. DeVoretz, 1982. "An Econometric Demand Model for Canadian Salmon," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 30(1), pages 49-60, 03.
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