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Predict and Attack (or Don’t): An Econometric Approach to Large Wildfire Early Detection and Suppression Effectiveness

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  • Katuwal, Hari
  • Hand, Michael S.
  • Thompson, Matthew
  • Stonesifer, Crystal
  • Calkin, David

Abstract

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Suggested Citation

  • Katuwal, Hari & Hand, Michael S. & Thompson, Matthew & Stonesifer, Crystal & Calkin, David, 2018. "Predict and Attack (or Don’t): An Econometric Approach to Large Wildfire Early Detection and Suppression Effectiveness," 2018 Annual Meeting, August 5-7, Washington, D.C. 274304, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea18:274304
    DOI: 10.22004/ag.econ.274304
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    References listed on IDEAS

    as
    1. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
    2. Michael S. Hand & Matthew J. Wibbenmeyer & David E. Calkin & Matthew P. Thompson, 2015. "Risk Preferences, Probability Weighting, and Strategy Tradeoffs in Wildfire Management," Risk Analysis, John Wiley & Sons, vol. 35(10), pages 1876-1891, October.
    3. Robyn S. Wilson & Patricia L. Winter & Lynn A. Maguire & Timothy Ascher, 2011. "Managing Wildfire Events: Risk‐Based Decision Making Among a Group of Federal Fire Managers," Risk Analysis, John Wiley & Sons, vol. 31(5), pages 805-818, May.
    4. Eva Vivalt, 2015. "Heterogeneous Treatment Effects in Impact Evaluation," American Economic Review, American Economic Association, vol. 105(5), pages 467-470, May.
    5. Chiburis, Richard C. & Das, Jishnu & Lokshin, Michael, 2012. "A practical comparison of the bivariate probit and linear IV estimators," Economics Letters, Elsevier, vol. 117(3), pages 762-766.
    Full references (including those not matched with items on IDEAS)

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