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The Economic and Policy Consequences of Catastrophes

Robert S. Pindyck
Massachusetts Institute of Technology (MIT) - Sloan School of Management; National Bureau of Economic Research (NBER)

Neng Wang
Columbia University - Columbia Business School


September 2009

NBER Working Paper No. w15373

Abstract:     
What is the likelihood that the U.S. will experience a devastating catastrophic event over the next few decades -- something that would substantially reduce the capital stock, GDP and wealth? What does the possibility of such an event imply for the behavior of economic variables such as investment, interest rates, and equity prices? And how much should society be willing to pay to reduce the probability or likely impact of such an event? We address these questions using a general equilibrium model that describes production, capital accumulation, and household preferences, and includes as an integral part the possible arrival of catastrophic shocks. Calibrating the model to average values of economic and financial variables yields estimates of the implied expected mean arrival rate and impact distribution of catastrophic shocks. We also use the model to calculate the tax on consumption society would accept to reduce the probability or impact of a shock.

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JEL Classifications: E20, G01, H56

Working Paper Series

Date posted: September 28, 2009 ; Last revised: October 26, 2009

Suggested Citation

Pindyck, Robert S. and Wang, Neng, The Economic and Policy Consequences of Catastrophes (September 2009). NBER Working Paper No. w15373. Available at SSRN: http://ssrn.com/abstract=1478791


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Contact Information

Robert S. Pindyck (Contact Author)
Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )
50 Memorial Drive, E52-450
Cambridge, MA 02142
United States
617-253-6641 (Phone)
617-258-6855 (Fax)
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Neng Wang
Columbia University - Columbia Business School ( email )
3022 Broadway
New York, NY 10027
United States
212-854-3869 (Phone)
Feedback to SSRN (Beta)


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