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Publication Information

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Title: Stochastic Price Models and Optimal Tree Cutting: Results for Loblolly Pine

Author: Haight, Robert G.; Holmes, Thomas P.

Date: 1991

Source: Natural Resource Modeling 5(4):423-443

Publication Series: Not categorized

Description: An empirical investigation of stumpage price models and optimal harvest policies is conducted for loblolly pine plantations in the southeastern United States. The stationarity of monthly and quarterly series of sawtimber prices is analyzed using a unit root test. The statistical evidence supports stationary autoregressive models for the monthly series and for the quarterly series of opening month prices. In contrast, the evidence supports a non-stationary random walk model for the quarterly series of average prices. This conflicting result is likely an artifact of price averaging. The properties of these series significantly affect the forms of optimal price-dependent harvest rules and expected returns. Further, the results have implications for conclusions about market efficiency and the performance of a fixed rotation age.

Keywords: Forest management, optimal harvesting, time-series analysis

Publication Notes:

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  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

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Citation:


Haight, Robert G.; Holmes, Thomas P. 1991. Stochastic Price Models and Optimal Tree Cutting: Results for Loblolly Pine. Natural Resource Modeling 5(4):423-443

 


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