Timber prices in the area struck by a natural disaster such as a hurricane or pest infestation are known to drop sharply immediately following the disaster, only to recover after about a year or so. Previous research attributes the rapid recovery to shifts in supply and demand curves. Our analysis suggests the more probable explanation is rotation in the curves. Supply and demand shifts come into play in the second and third years as rebuilding from the hurricane begins in earnest, and as timber inventory is rebuilt in response to elevated price expectations. But for the period in which price recovery occurs, model simulations based on data for Hurricane Hugo indicate the major causal factors of the observed price dynamics are curve rotation and trade with the surrounding undamaged region. Inventory-based supply shifts, the previously-identified causal factor, play a minor role in the observed price dynamics. Getting the causal factors right is important for predicting the price effects of forest inventory shocks, and for proper measurement of their welfare effects.
Timber price dynamics after a natural disaster: Hurricane Hugo revisited✰ Available to Purchase
This research was funded by the Alabama Agricultural Experiment Station, Auburn University, Auburn, Alabama. It contributes to Hatch Project S-1062 “The Importance of U.S. Food and Agricultural Trade in a New Global Market Environment.” Appreciation is expressed to Changyou Sun for providing data and extensive critique of the model, to journal reviewers for providing comments that materially improved the paper, and to Ying Lin for her careful reading of the final revision. Any remaining errors of judgment, logic, or fact rest strictly with the author.
Kinnucan HW (2016), "Timber price dynamics after a natural disaster: Hurricane Hugo revisited✰". Journal of Forest Economics, Vol. 25 No. 1 pp. 115–129, doi: https://doi.org/10.1016/j.jfe.2016.09.002
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