Abstract

 
 

Citations (11)



 
 

Footnotes (23)



 


 



Incentives to Settle Under Joint and Several Liability


Howard F. Chang


University of Pennsylvania Law School

Hilary Sigman


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

April 1999

NBER Working Paper No. w7096

Abstract:     
Congress may soon restrict joint and several liability for cleanup of contaminated sites under Superfund. We explore whether this change would discourage settlements and is therefore likely to increase the program's already high litigation costs. Recent theoretical research by Kornhauser and Revesz finds that joint and several liability may either encourage or discourage settlement, depending upon the correlation of outcomes at trial across defendants. We extend their two-defendant model to a richer framework with N defendants. This extension allows us to test the theoretical model empirically using data on Superfund litigation. We find that joint and several liability does not discourage settlements and may even encourage them. Our results support the model's predictions about the effects of several variables, such as the degree of correlation in trial outcomes.

Number of Pages in PDF File: 42

working papers series


Download This Paper

Date posted: September 7, 2000  

Suggested Citation

Chang, Howard F. and Sigman, Hilary A., Incentives to Settle Under Joint and Several Liability (April 1999). NBER Working Paper No. w7096. Available at SSRN: http://ssrn.com/abstract=227426

Contact Information

Howard F. Chang (Contact Author)
University of Pennsylvania Law School ( email )
3501 Sansom Street
Philadelphia, PA 19104
United States
215-573-8296 (Phone)
215-573-2025 (Fax)
Hilary A. Sigman
Rutgers University - Department of Economics ( email )
75 Hamilton Street
New Brunswick, NJ 08901
United States
HOME PAGE: http://econweb.rutgers.edu/sigman
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 593
Downloads: 22
Citations:  11
Footnotes:  23

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo1 in 0.422 seconds