An Approach to the Estimation of Import Price Elasticities by Supplier
Abstract:An approach to the estimation of import price elasticities by supplier was developed for the analysis of multilateral commodity flows, where the brevity of available annual time-series data and the lack of quarterly or monthly series precludes the direct application of more rigorous estimation procedures. Import demand functions were estimated for four commodities and four Western European and Asian countries to empirically evaluate the approach and to identify potential supplier differentiation in the market. Products considered included sulfate and sulfite pulp, and kraft paper and paperboard and paper and paperboard n.e.s. due to the relatively large number of suppliers of these products and the tendency of many importers to regularly purchase these products from a variety of suppliers. Importing countries considered included Italy, Japan, West Germany, and the United Kingdom due to their prominent market positions. Estimated differences in import price elasticities identified in 6 of the 16 models considered were relatively small in magnitude, but significantly different from one another, suggesting that some importers do differentiate among suppliers of selected forest products. For. Sci. 35(1):30-41.
Document Type: Journal Article
Affiliations: Assistant Professor, Department of Natural Resource Sciences, Washington State University, Pullman, WA 99164
Publication date: March 1, 1989
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- Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
Forest Science is published bimonthly in February, April, June, August, October, and December.
2015 Impact Factor: 1.702
Ranking: 16 of 66 in forestry
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