Citations (9)


Footnotes (21)



An Analysis of the Dismal Theorem

William D. Nordhaus

Yale University - Department of Economics; National Bureau of Economic Research (NBER)

January 20, 2009

Cowles Foundation Discussion Paper No. 1686

In a series of papers, Martin Weitzman has proposed a Dismal Theorem. The general idea is that, under limited conditions concerning the structure of uncertainty and preferences, society has an indefinitely large expected loss from high-consequence, low-probability events. Under such conditions, standard economic analysis cannot be applied. The present study is intended to put the Dismal Theorem in context and examine the range of its applicability, with an application to catastrophic climate change. I conclude that Weitzman makes an important point about selection of distributions in the analysis of decision-making under uncertainty. However, the conditions necessary for the Dismal Theorem to hold are limited and do not apply to a wide range of potential uncertain scenarios.

Number of Pages in PDF File: 27

Keywords: Dismal theorem, Uncertainty, Climate change, Catastrophes

JEL Classification: O13, D18, Q5, H43

Open PDF in Browser Download This Paper

Date posted: January 21, 2009  

Suggested Citation

Nordhaus, William D., An Analysis of the Dismal Theorem (January 20, 2009). Cowles Foundation Discussion Paper No. 1686. Available at SSRN: http://ssrn.com/abstract=1330454

Contact Information

William D. Nordhaus (Contact Author)
Yale University - Department of Economics ( email )
28 Hillhouse Ave
New Haven, CT 06520-8268
United States
203-432-3598 (Phone)
203-432-5779 (Fax)
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Feedback to SSRN

Paper statistics
Abstract Views: 1,664
Downloads: 409
Download Rank: 46,585
Citations:  9
Footnotes:  21

© 2015 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollo4 in 0.390 seconds