Modeling demand structure using scanner data: Implications for salmon enhancement policies

Cathy R. Wessells and Petter Wallström
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Cathy R. Wessells: Department of Environmental and Natural Resource Economics, University of Rhode Island, 5 Lippitt Road, Kingston, RI 02881, Postal: Department of Environmental and Natural Resource Economics, University of Rhode Island, 5 Lippitt Road, Kingston, RI 02881
Petter Wallström: Department of Environmental and Natural Resource Economics, University of Rhode Island, 5 Lippitt Road, Kingston, RI 02881, Postal: Department of Environmental and Natural Resource Economics, University of Rhode Island, 5 Lippitt Road, Kingston, RI 02881
Authors registered in the RePEc Author Service: Cathy A. Roheim

Agribusiness, 1999, vol. 15, issue 4, 449-461

Abstract: 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.

Date: 1999
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Persistent link: https://EconPapers.repec.org/RePEc:wly:agribz:v:15:y:1999:i:4:p:449-461

DOI: 10.1002/(SICI)1520-6297(199923)15:4<449::AID-AGR2>3.0.CO;2-9

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