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Timber price dynamics after a natural disaster: Hurricane Hugo revisited

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  • Kinnucan, Henry W.

Abstract

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.

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  • Kinnucan, Henry W., 2016. "Timber price dynamics after a natural disaster: Hurricane Hugo revisited," Journal of Forest Economics, Elsevier, vol. 25(C), pages 115-129.
  • Handle: RePEc:eee:foreco:v:25:y:2016:i:c:p:115-129
    DOI: 10.1016/j.jfe.2016.09.002
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    Cited by:

    1. Borzykowski, Nicolas, 2019. "A supply-demand modeling of the Swiss roundwood market: Actors responsiveness and CO2 implications," Forest Policy and Economics, Elsevier, vol. 102(C), pages 100-113.
    2. Damian C. Adams & Andres Susaeta & Jose R. Soto & Frederick Rossi & Paloma Carton Grammont & William A. Messina & Frank H. Koch & Demian Gomez & Jiri Hulcr, 2020. "A bioeconomic model for estimating potential economic damages from a hypothetical Asian beetle introduced via future trade with Cuba," Journal of Bioeconomics, Springer, vol. 22(1), pages 33-58, April.
    3. David W. Shanafelt & Brian Danle & Jesse Caputo & Marielle Brunette, 2024. "More forest more problems? Understanding family forest owners’ concerns in the United States," Working Papers of BETA 2024-32, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    4. Morland, Christian & Schier, Franziska & Janzen, Niels & Weimar, Holger, 2018. "Supply and demand functions for global wood markets: Specification and plausibility testing of econometric models within the global forest sector," Forest Policy and Economics, Elsevier, vol. 92(C), pages 92-105.
    5. Xiaojia Bao & Puyang Sun & Jianan Li, 2023. "The impacts of tropical storms on food prices: Evidence from China," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(2), pages 576-596, March.
    6. Borzykowski, Nicolas, 2017. "The Swiss market for construction wood : estimating elasticities with time series simultaneous equations," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258659, Agricultural Economics Society.

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    More about this item

    Keywords

    Equilibrium displacement model; Hurricane Hugo; Le Chatelier's principle; Market integration; Timber price dynamics;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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