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An Econometric Model of the Market for Redwood Lumber

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The study sought to explain the economic structure of the short-run market for redwood lumber and to prepare short-range forecasts of price, new orders, shipments, production, stocks, and unfilled orders. Major features of the redwood lumber industry were studied and short-run market theory was developed. The market structure was described by a system of linear equations explaining each of the six characteristics studied. The recursive nature of the system made it acceptable from a statistical point of view to use direct least squares to estimate regression coefficients. Elasticity estimates were used to compare the influence of individual explanatory variables. Forecasts were generated using estimated structural, solved structural, and reduced form equations. Greatest success was achieved in forecasting price and stocks. Results were poorest with regard to new orders. No forecasting method was clearly better than the others.
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Keywords: Short-run market theory; forecasting; recursive model

Document Type: Journal Article

Affiliations: Assistant Professor, Univ. of Calif. School of Forestry and Conservation, Berkeley

Publication date: 1969-06-01

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.
    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

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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