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Modeling demand structure using scanner data: Implications for salmon enhancement policies
Author(s) -
Wessells Cathy R.,
Wallström Petter
Publication year - 1999
Publication title -
agribusiness
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.57
H-Index - 43
eISSN - 1520-6297
pISSN - 0742-4477
DOI - 10.1002/(sici)1520-6297(199923)15:4<449::aid-agr2>3.0.co;2-9
Subject(s) - scanner , product (mathematics) , computer science , stability (learning theory) , econometrics , panel data , economics , industrial organization , artificial intelligence , mathematics , machine learning , geometry
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.