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Measuring long-run economic effects of natural hazard

Author

Listed:
  • Robert McComb
  • Young-Kyu Moh
  • Anita Schiller

Abstract

This paper studies the long-run economic effects of severe weather on regional economies. A catastrophic event, such as a hurricane, will have an effect on both the directly impacted region and adjacent regions. With dramatically increasing damage from catastrophic weather events over the past few decades, comprehensive assessment of the long-run economic impact of natural disasters across the broader region becomes more important than ever for planning for post-disaster recovery. We estimate the long-run effect of Hurricane Katrina on the unemployment rate of Houston, TX by employing time-series and fixed-effect models. Using Dallas as a control, we find that Katrina is associated with a higher long-run unemployment rate in Houston than would otherwise have been expected. This implies that the hurricane-generated adverse relative effects on Houston. Our findings suggest that areas that are geographically proximate to the directly impacted region can sustain lasting negative economic consequences. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • Robert McComb & Young-Kyu Moh & Anita Schiller, 2011. "Measuring long-run economic effects of natural hazard," 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. 58(1), pages 559-566, July.
    • Handle: RePEc:spr:nathaz:v:58:y:2011:i:1:p:559-566
    DOI: 10.1007/s11069-010-9687-2
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    References listed on IDEAS

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    1. Molly Fifer McIntosh, 2008. "Measuring the Labor Market Impacts of Hurricane Katrina Migration: Evidence from Houston, Texas," American Economic Review, American Economic Association, vol. 98(2), pages 54-57, May.
    2. Carl Bonham & Byron Gangnes, 1995. "Intervention Analysis with Cointegrated Time Series: The Case of the Hawaii Hotel Room Tax," Working Papers 199505, University of Hawaii at Manoa, Department of Economics.
    3. Dakshina G. De Silva & Robert P. McComb & Young-Kyu Moh & Anita R. Schiller & Andres J. Vargas, 2010. "The Effect of Migration on Wages: Evidence from a Natural Experiment," American Economic Review, American Economic Association, vol. 100(2), pages 321-326, May.
    4. Blair, Benjamin F. & Rezek, Jon P., 2008. "The effects of Hurricane Katrina on price pass-through for Gulf Coast gasoline," Economics Letters, Elsevier, vol. 98(3), pages 229-234, March.
    5. Bradley T. Ewing & Jamie Brown Kruse, 2002. "The Impact of Project Impact on the Wilmington, North Carolina, Labor Market," Public Finance Review, , vol. 30(4), pages 296-309, July.
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    Cited by:

    1. Giorgio Di Pietro & Toni Mora, 2015. "The Effect of the L'Aquila Earthquake on Labour Market Outcomes," Environment and Planning C, , vol. 33(2), pages 239-255, April.
    2. Xiaojia Bao & Solomon Hsiang, 2016. "Transfer for Disasters: Governmental Responsiveness to Typhoon Risks in China," Working Papers 2014-07-02, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    3. Ying Wang & Zhenhua Zou & Juan Li, 2015. "Influencing factors of households disadvantaged in post-earthquake life recovery: a case study of the Wenchuan earthquake in China," 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. 75(2), pages 1853-1869, January.
    4. Giorgio Di Pietro & Toni Mora, 2015. "The effect of the L’Aquila earthquake on labour market outcomes," Environment and Planning C: Government and Policy, Pion Ltd, London, vol. 33(2), pages 239-255, April.
    5. Moore, Winston & Phillips, Willard, 2014. "Review of ECLAC damage and loss assessments in the Caribbean," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38356, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).

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