Modeling demand structure using scanner data: Implications for salmon enhancement policies
AbstractIn 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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Bibliographic InfoArticle provided by John Wiley & Sons, Ltd. in its journal Agribusiness.
Volume (Year): 15 (1999)
Issue (Month): 4 ()
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Web page: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1520-6297
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.
- 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.
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- Bergtold, Jason S. & Akobundu, Eberechukwu & Peterson, Everett B., 2004.
"The FAST Method: Estimating Unconditional Demand Elasticities for Processed Foods in the Presence of Fixed Effects,"
Journal of Agricultural and Resource Economics,
Western Agricultural Economics Association, vol. 29(02), August.
- Bergtold, Jason S. & Akobundu, Eberechukwu & Peterson, Everett B., 2003. "The Fast Method: Estimating Unconditional Demand Elasticities For Processed Food In The Presence Of Fixed Effects," 2003 Annual meeting, July 27-30, Montreal, Canada 21893, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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