If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

Econometric versus Univariate and Bivariate Time-Series Forecasts: The Case of Softwood Lumber Imports

$29.50 plus tax (Refund Policy)

Buy Article:

Abstract:

An econometric model based on housing starts, prices, and past imports; a univariate time-series model using past imports only; and a bivariate time-series model of imports and housing starts were used to forecast United States softwood lumber imports. Experiments were performed to test the forecasting accuracy of each model assuming either perfect knowledge of the future value of determining variables, or complete ignorance. These experiments were repeated to forecast 1 month or 3 months ahead. The results suggested that the bivariate time-series model based on lumber imports and housing starts was the most useful from the point of view of pure forecasting. It was at least as accurate as the econometric model, both in 1-month and 3-month forecasts, and it required much less information. Under comparable assumptions it was superior to the univariate model for 1-month forecasts. The accuracy of the bivariate model improved significantly for 3-month forecasts if good forecasts of housing starts were available. The econometric model was more suitable for policy analysis. Future advances would be possible by a theoretical synthesis of the multivariate and econometric approaches. Forest Sci. 30:194-208.

Keywords: International trade; forecasting; time-series analysis

Document Type: Journal Article

Affiliations: Project Assistant (Assistant Professor, Department of Economics, Georgetown University, Washington, DC), Department of Forestry, University of Wisconsin, Madison, WI 53706

Publication date: March 1, 1984

More about this publication?
  • 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.
  • Membership Information
  • ingentaconnect is not responsible for the content or availability of external websites
Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more