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Convective Storm Vulnerability: Quantifying the Role of Effective and Well-Enforced Building Codes in Minimizing Missouri Hail Property Damage

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  • Jeffrey Czajkowski
  • Kevin M. Simmons

Abstract

Implementing strong building codes is touted as a way to reduce natural disaster property damages. However, at the local level not all jurisdictions adopt equally stringent codes nor properly enforce their codes once they have been adopted. We empirically test whether zip code jurisdictions with effective and well-enforced building codes demonstrate better loss experience from the occurrence of a hail storm than those without. We model Missouri hail claim insurance data from 2008 to 2010. Our results consistently indicate that more favorable building codes do in fact matter in reducing hail damage on the order of 10% to 20%.

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  • Jeffrey Czajkowski & Kevin M. Simmons, 2014. "Convective Storm Vulnerability: Quantifying the Role of Effective and Well-Enforced Building Codes in Minimizing Missouri Hail Property Damage," Land Economics, University of Wisconsin Press, vol. 90(3), pages 482-508.
    • Handle: RePEc:uwp:landec:v:90:y:2014:iii:1:p:482-508
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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Arrow, Kenneth J, 1996. "The Theory of Risk-Bearing: Small and Great Risks," Journal of Risk and Uncertainty, Springer, vol. 12(2-3), pages 103-111, May.
    3. Ehrlich, Isaac & Becker, Gary S, 1972. "Market Insurance, Self-Insurance, and Self-Protection," Journal of Political Economy, University of Chicago Press, vol. 80(4), pages 623-648, July-Aug..
    4. Kunreuther, Howard C. & Michel-Kerjan, Erwann O., 2011. "At War with the Weather: Managing Large-Scale Risks in a New Era of Catastrophes," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262516543, December.
    5. Botzen, W.J.W. & Bouwer, L.M. & van den Bergh, J.C.J.M., 2010. "Climate change and hailstorm damage: Empirical evidence and implications for agriculture and insurance," Resource and Energy Economics, Elsevier, vol. 32(3), pages 341-362, August.
    6. Heather McMaster, 2001. "Hailstorm Risk Assessment in Rural New South Wales," 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. 24(2), pages 187-196, September.
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    Cited by:

    1. Jeffrey Czajkowski & Kevin M. Simmons & James M. Done, 2017. "Demonstrating the Intensive Benefit to the Local Implementation of a Statewide Building Code," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 20(3), pages 363-390, December.
    2. Arnaud Goussebaïle, 2016. "Risk prevention in cities prone to natural hazards," Working Papers hal-01358734, HAL.
    3. Joseph T. Ripberger & Hank C. Jenkins‐Smith & Carol L. Silva & Jeffrey Czajkowski & Howard Kunreuther & Kevin M. Simmons, 2018. "Tornado Damage Mitigation: Homeowner Support for Enhanced Building Codes in Oklahoma," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2300-2317, November.

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    More about this item

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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