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The Dynamic Behavior of Efficient Timber Prices

Author

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  • Bruce McGough
  • Andrew J. Plantinga
  • Bill Provencher

Abstract

A simple theoreticalmodel of a tim- consist ing of Faustmann rotations evalubermarket finds that there exists a rational expecta- ated at the mean of the price process. tions equilibrium in which prices evolve according The central question addressed in this to a stationary A R (1) process.Simulations analyz e study is: what is the appropriate model of a model with a more general representation of tim- timber prices? This is an important quesber stock dynamics. Implications for the optimal tion given the prescriptive nature of the harvesting literature are: 1) market efficiency pro- timber harvesting literature3 vides little justification for random walk prices; 2) and evidence unit root tests, used in previous studies to analyz e that the form of the price process strongly the informational efficiency of timber markets, do influences the performance of a reservanot distinguish between efficient and inefficient tion price rule relative to the Faustmann markets; and 3) failure to recognize asymmetric rotation (Haight and Holmes 1991; Plandisturbances in time-series analyses of historical tinga 1998). Nonetheless, most authors aptimber prices can lead to sub-optimal harvesting pear to select the form of the price process rules.

Suggested Citation

  • Bruce McGough & Andrew J. Plantinga & Bill Provencher, 2004. "The Dynamic Behavior of Efficient Timber Prices," Land Economics, University of Wisconsin Press, vol. 80(1), pages 95-108.
    • Handle: RePEc:uwp:landec:v:80:y:2004:i:1:p:95-108
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    Cited by:

    1. Gong, Peichen & Löfgren, Karl Gustaf, 2007. "Market and welfare implications of the reservation price strategy for forest harvest decisions," Journal of Forest Economics, Elsevier, vol. 13(4), pages 217-243, November.
    2. Manley, Bruce & Niquidet, Kurt, 2010. "What is the relevance of option pricing for forest valuation in New Zealand?," Forest Policy and Economics, Elsevier, vol. 12(4), pages 299-307, April.
    3. Adriana Piazza & Bernardo Pagnoncelli, 2014. "The optimal harvesting problem under price uncertainty," Annals of Operations Research, Springer, vol. 217(1), pages 425-445, June.
    4. Insley, Margaret & Lei, Manle, 2007. "Hedges and Trees: Incorporating Fire Risk into Optimal Decisions in Forestry Using a No-Arbitrage Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(3), pages 1-23, December.
    5. Richard G. Newell & Kerry L. Papps & James N. Sanchirico, 2007. "Asset Pricing in Created Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 259-272.
    6. Sanchirico, James & Newell, Richard & Papps, Kerry, 2005. "Asset Pricing in Created Markets for Fishing Quotas," RFF Working Paper Series dp-05-46, Resources for the Future.
    7. Gong, Peichen & Löfgren, Karl-Gustaf, 2005. "Market and welfare implications of the reservation price strategy for forest harvest decisions," Umeå Economic Studies 664, Umeå University, Department of Economics.
    8. McGough Bruce & Plantinga Andrew J. & Costello Christopher, 2009. "Optimally Managing a Stochastic Renewable Resource under General Economic Conditions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(1), pages 1-31, December.

    More about this item

    JEL classification:

    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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