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Examining heterogeneity and wildfire management expenditures using spatially and temporally descriptive data

Author

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  • Hand, Michael S.
  • Thompson, Matthew P.
  • Calkin, David E.

Abstract

Increasing costs of wildfire management have highlighted the need to better understand suppression expenditures and potential tradeoffs of land management activities that may affect fire risks. Spatially and temporally descriptive data is used to develop a model of wildfire suppression expenditures, providing new insights into the role of spatial and temporal heterogeneity in determining expenditures. Incorporating heterogeneity improves model fit and predictive ability over a model with data based on the point and time of fire ignition. The model is potentially useful for providing expenditure information for simulated fire applications and post-season evaluation of suppression activities.

Suggested Citation

  • Hand, Michael S. & Thompson, Matthew P. & Calkin, David E., 2016. "Examining heterogeneity and wildfire management expenditures using spatially and temporally descriptive data," Journal of Forest Economics, Elsevier, vol. 22(C), pages 80-102.
    • Handle: RePEc:eee:foreco:v:22:y:2016:i:c:p:80-102
    DOI: 10.1016/j.jfe.2016.01.001
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    References listed on IDEAS

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    1. Matthew P Thompson, 2013. "Modeling Wildfire Incident Complexity Dynamics," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-10, May.
    2. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    3. Joe Scott & Don Helmbrecht & Matthew Thompson & David Calkin & Kate Marcille, 2012. "Probabilistic assessment of wildfire hazard and municipal watershed exposure," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 707-728, October.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    5. J. P. Royston, 1982. "The W Test for Normality," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 31(2), pages 176-180, June.
    6. Yoder, Jonathan & Gebert, Krista, 2012. "An econometric model for ex ante prediction of wildfire suppression costs," Journal of Forest Economics, Elsevier, vol. 18(1), pages 76-89.
    7. George M. Parks, 1964. "Development and Application of a Model for Suppression of Forest Fires," Management Science, INFORMS, vol. 10(4), pages 760-766, July.
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    Keywords

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    JEL classification:

    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government

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