Analysis of Demand System for Unbreaded Frozen Seafood in the United States Using Store-level Scanner Data
Date
2012-12
Authors
Singh, Kehar
Dey, Madan
Surathkal, Prasanna
Journal Title
Journal ISSN
Volume Title
Publisher
The University of Chicago Press
Abstract
This article uses weekly national store-level scanner data acquired from A.C. Nielsen Inc., to analyze demand for 14 unbreaded frozen seafood products in the United States (U.S.). While utilization of scanner data for food demand analyses has become increasingly popular in the U.S., just a few studies of seafood demand have utilized scanner data. We used a log linear version of the Paasche’s index with lagged shares as the price index in an Almost Ideal Demand System (AIDS) model and modified the intercept of a standard AIDS model to account for effects of the season and the lagged demand. Own-price, cross-price, and expenditure elasticities vary across species considerably, which highlights the importance of studying consumer demand behavior at disaggregated levels for seafood.
Description
Keywords
seafood demand, scanner data, Almost Ideal Demand System, price and expenditure elasticity, Paasche's index, consumer demand behavior, Agricultural Sciences
Citation
Singh, K., Dey, M. M., & Surathkal, P. (2012). Analysis of demand system for unbreaded frozen seafood in the United States using store-level scanner data. Marine Resources Economics, 27(4), pp. 371-387.
Rights
Rights Holder
Copyright © 2012 MRE Foundation, Inc.