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Understanding the Economic Costs and Benefits of Catastrophes and Their Aftermath: A Review and Suggestions for the U.S. Federal Government

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  • Michael R. Greenberg
  • Michael Lahr
  • Nancy Mantell

Abstract

The number and magnitude of devastating natural and human events make it imperative that we actively and systematically estimate the costs and benefits of policy decisions in affected localities, regions, states, and nations. Such strategic risk management preparedness efforts should forecast well into the future and include scenarios with and without enhanced engineered structures; with reduced vulnerability through land‐use planning and design; with the impact of resiliency and mitigation; with evacuation and relocation; and with the costs and benefits of recovery and restoration. We describe different kinds of regional economic models that can be used in these preparedness planning efforts, explore critical data needs, and advocate a shared federal‐state‐local strategic planning effort to accomplish the objective.

Suggested Citation

  • Michael R. Greenberg & Michael Lahr & Nancy Mantell, 2007. "Understanding the Economic Costs and Benefits of Catastrophes and Their Aftermath: A Review and Suggestions for the U.S. Federal Government," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 83-96, February.
    • Handle: RePEc:wly:riskan:v:27:y:2007:i:1:p:83-96
    DOI: 10.1111/j.1539-6924.2006.00861.x
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    1. Christopher A. Sims, 2002. "The Role of Models and Probabilities in the Monetary Policy Process," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 1-62.
    2. Paulo Guimaraes & Frank L. Hefner & Douglas P. Woodward, 1993. "Wealth And Income Effects Of Natural Disasters: An Econometric Analysis Of Hurricane Hugo," The Review of Regional Studies, Southern Regional Science Association, vol. 23(2), pages 97-114, Fall.
    3. Kunreuther, Howard, 1996. "Mitigating Disaster Losses through Insurance," Journal of Risk and Uncertainty, Springer, vol. 12(2-3), pages 171-187, May.
    4. Partridge, Mark D & Rickman, Dan S, 1998. "Generalizing the Bayesian Vector Autoregression Approach for Regional Interindustry Employment Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(1), pages 62-72, January.
    5. Adam Rose & Shu‐Yi Liao, 2005. "Modeling Regional Economic Resilience to Disasters: A Computable General Equilibrium Analysis of Water Service Disruptions," Journal of Regional Science, Wiley Blackwell, vol. 45(1), pages 75-112, February.
    6. Michael L. Lahr & Benjamin H. Stevens, 2002. "A Study of the Role of Regionalization in the Generation of Aggregation Error in Regional Input –Output Models," Journal of Regional Science, Wiley Blackwell, vol. 42(3), pages 477-507, August.
    7. Mark D. Partridge & Dan S. Rickman, 1998. "Regional Computable General Equilibrium Modeling: A Survey and Critical Appraisal," International Regional Science Review, , vol. 21(3), pages 205-248, December.
    8. Frank Smets & Raf Wouters, 2004. "Forecasting with a Bayesian DSGE Model: An Application to the Euro Area," Journal of Common Market Studies, Wiley Blackwell, vol. 42(4), pages 841-867, November.
    9. Dan S. Rickman, 2002. "A Bayesian forecasting approach to constructing regional input-output based employment multipliers," Papers in Regional Science, Springer;Regional Science Association International, vol. 81(4), pages 483-498.
    10. Leontief, Wassily, 1977. "The future of the world economy+," Socio-Economic Planning Sciences, Elsevier, vol. 11(3), pages 171-182.
    11. 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.
    12. Mark Skidmore & Hideki Toya, 2002. "Do Natural Disasters Promote Long-Run Growth?," Economic Inquiry, Western Economic Association International, vol. 40(4), pages 664-687, October.
    13. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    14. Larry Dale & James C. Murdoch & Mark A. Thayer & Paul A. Waddell, 1999. "Do Property Values Rebound from Environmental Stigmas? Evidence from Dallas," Land Economics, University of Wisconsin Press, vol. 75(2), pages 311-326.
    15. Lee C. Adkins & Dan S. Rickman & Abid Hameed, 2003. "Bayesian Estimation of Regional Production for CGE Modeling," Journal of Regional Science, Wiley Blackwell, vol. 43(4), pages 641-661, November.
    16. Jonsson, Gunnar & Klein, Paul, 1996. "Stochastic fiscal policy and the Swedish business cycle," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 245-268, October.
    17. Yacov Y. Haimes, 2005. "Managing Risks of Catastrophic and Extreme Events," Risk Analysis, John Wiley & Sons, vol. 25(4), pages 1083-1083, August.
    18. Leontief, Wassily, 1974. "Structure of the World Economy: Outline of a Simple Input-Output Formulation," American Economic Review, American Economic Association, vol. 64(6), pages 823-834, December.
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