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Considerations on Modeling the Market for Softwood Lumber in the United States

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This paper uses the Granger causality test to determine whether the demand for softwood lumber affects price in the current period or subsequent periods, or whether price is exogenous. This test is run for each of four geographically distinct regions in the United States. Further statistical tests are then used to detect the geographical extent of the softwood lumber market. The results indicate that demand is indeed strongly connected to prices, and that there is a national market for softwood lumber. For. Sci. 36(3):680-692.
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Keywords: Granger causality; geographical market; polynomial lags; softwood lumber

Document Type: Journal Article

Affiliations: Department of Economics, Ohio University

Publication date: 1990-09-01

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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.
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