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Modeling the United States Housing Sector

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New residential construction and improvement of existing housing account for most of the solid wood products consumption in the United States. It is important for forest policy analysts and those interested in wood products markets to understand the implications of changes in macroeconomic variables on housing markets and, hence, on wood products markets and forests. In past studies of U.S. housing markets used for long-run forest policy analysis, the time series properties of the macroeconomic data used to estimate the models were ignored. To the extent that estimation results are sensitive to those properties, the resulting model forecasts may be misleading. This study reports a structural model of the housing sector in the United States estimated using five alternative specifications to account for the time series properties of the data. Estimation results were compared, and model forecast performance was evaluated. Several stable estimation results emerged. However, further investigation is indicated for some potentially important relationships that were sensitive to model specification. FOR. SCI. 47(3):371–389.
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Keywords: Housing supply and demand; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; housing maintenance; housing remodeling; natural resource management; natural resources; residential construction; structural models; time series analysis; wood products markets

Document Type: Miscellaneous

Affiliations: Associate Professor of Forest Resources Oregon State University, Corvallis, OR, 97331, Phone: (541) 737-5533; Fax: (541) 737-3049 [email protected]

Publication date: 2001-08-01

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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.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

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