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The Economic Growth Impact of Hurricanes: Evidence from US Coastal Counties

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  • Strobl, Eric

    () (Aix-Marseille University)

Abstract

We estimate the impact of hurricane strikes on local economic growth rates and how this is reflected in more aggregate growth patterns. To this end we assemble a panel data set of US coastal counties’ growth rates and construct a hurricane destruction index that is based on a monetary loss equation, local wind speed estimates derived from a physical wind field model, and local exposure characteristics. Our econometric results suggest that in response to a hurricane strike a county’s annual economic growth rate will initially fall by 0.8, but then partially recover by 0.2 percentage points. While the pattern is qualitatively similar at the state level, the net effect over the long term is negligible. Hurricane strikes do not appear to be economically important enough to be reflected in national economic growth rates.

Suggested Citation

  • Strobl, Eric, 2008. "The Economic Growth Impact of Hurricanes: Evidence from US Coastal Counties," IZA Discussion Papers 3619, Institute for the Study of Labor (IZA).
    • Handle: RePEc:iza:izadps:dp3619
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    1. Horwich, George, 2000. "Economic Lessons of the Kobe Earthquake," Economic Development and Cultural Change, University of Chicago Press, vol. 48(3), pages 521-542, April.
    2. Rappaport, Jordan & Sachs, Jeffrey D, 2003. "The United States as a Coastal Nation," Journal of Economic Growth, Springer, vol. 8(1), pages 5-46, March.
    3. Noy, Ilan, 2009. "The macroeconomic consequences of disasters," Journal of Development Economics, Elsevier, vol. 88(2), pages 221-231, March.
    4. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
    5. Matthew Higgins & Daniel Levy & Andrew Young, 2003. "Growth and Convergence across the U.S.: Evidence from County-level Data," Emory Economics 0306, Department of Economics, Emory University (Atlanta).
    6. Eric Strobl & Frank Walsh, 2009. "The Re-Building Effect of Hurricanes: Evidence from Employment in the US Construction Industry," Economics Bulletin, AccessEcon, vol. 29(4), pages 3059-3066.
    7. Belasen, Ariel R. & Polachek, Solomon, 2008. "How Hurricanes Affect Employment and Wages in Local Labor Markets," IZA Discussion Papers 3407, Institute for the Study of Labor (IZA).
    8. Richard Evans & Yingyao Hu & Zhong Zhao, 2010. "The fertility effect of catastrophe: U.S. hurricane births," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 1-36, January.
    9. Toya, Hideki & Skidmore, Mark, 2007. "Economic development and the impacts of natural disasters," Economics Letters, Elsevier, vol. 94(1), pages 20-25, January.
    10. John C. Bluedorn, 2005. "Hurricanes: Intertemporal Trade and Capital Shocks," Economics Papers 2005-W22, Economics Group, Nuffield College, University of Oxford.
    11. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    12. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    13. William D. Nordhaus, 2006. "The Economics of Hurricanes in the United States," NBER Working Papers 12813, National Bureau of Economic Research, Inc.
    14. Matthew E. Kahn, 2005. "The Death Toll from Natural Disasters: The Role of Income, Geography, and Institutions," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 271-284, May.
    15. Ariel R. Belasen & Solomon W. Polachek, 2009. "How Disasters Affect Local Labor Markets: The Effects of Hurricanes in Florida," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    16. Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
    17. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    18. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    19. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
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    More about this item

    Keywords

    US coastal counties; economic growth; hurricanes;

    JEL classification:

    • E0 - Macroeconomics and Monetary Economics - - General

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