Abstract

http://ssrn.com/abstract=1972776
 
 

Citations (1)



 


 



The US Government's Social Cost of Carbon Estimates after Their First Year: Pathways for Improvement


Robert E. Kopp


Rutgers, The State University of New Jersey - Rutgers University, New Brunswick/Piscataway

Bryan K. Mignone


Government of the United States of America - Department of Energy

2011

Economics Discussion Paper No. 2011-16

Abstract:     
In 2010, the U.S. government adopted its first consistent estimates of the social cost of carbon (SCC) for government-wide use in regulatory cost-benefit analysis. Here, we examine a number of the limitations of the estimates identified in the U.S. government report and elsewhere and review recent advances that could pave the way for improvements. We consider in turn socioeconomic scenarios, treatment of physical climate response, damage estimates, ways of incorporating risk aversion, and consistency between SCC estimates and broader climate policy.

Number of Pages in PDF File: 27

Keywords: Climate change, social cost of carbon

JEL Classification: Q54, Q58

working papers series





Download This Paper

Date posted: December 15, 2011  

Suggested Citation

Kopp, Robert E. and Mignone, Bryan K., The US Government's Social Cost of Carbon Estimates after Their First Year: Pathways for Improvement (2011). Economics Discussion Paper No. 2011-16. Available at SSRN: http://ssrn.com/abstract=1972776 or http://dx.doi.org/10.2139/ssrn.1972776

Contact Information

Robert E. Kopp
Rutgers, The State University of New Jersey - Rutgers University, New Brunswick/Piscataway ( email )
HOME PAGE: http://www.bobkopp.net/
Bryan K. Mignone
Government of the United States of America - Department of Energy
1000 Independence Ave. SW
Washington, DC 20585
United States
Feedback to SSRN


Paper statistics
Abstract Views: 83
Downloads: 12
Citations:  1

© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollo7 in 0.266 seconds