Abstract

 
 

References (153)



 


 



Models of Evidence: Survey and Assessment


Chris William Sanchirico


University of Pennsylvania Law School; University of Pennsylvania Wharton School - Business Economics and Public Policy Department; Urban-Brookings Tax Policy Center

November 5, 2010

University of Pennsylvania Institute for Law & Economics Research Paper No. 10-28

Abstract:     
This survey identifies and reviews the main approaches to modeling legal evidence: pure probabilistic deduction, the omission model, endogenous cost signaling, and correlated private information. The central mechanic of each approach is described and applications are provided. Approaches are evaluated and compared. Attempts to combine approaches are also examined.

Number of Pages in PDF File: 61

Keywords: Litigation, Evidence, Game Theory and Evidence, Information Economics and Evidence, Asymmetric Information and Evidence, Verifiability, Provability, Partial Provability, Signaling and Evidence, Endogenous Cost Signaling, Correlated Private Information, Correlated Types

JEL Classification: K40, K41

working papers series


Download This Paper

Date posted: November 7, 2010 ; Last revised: June 20, 2011

Suggested Citation

Sanchirico, Chris William, Models of Evidence: Survey and Assessment (November 5, 2010). University of Pennsylvania Institute for Law & Economics Research Paper No. 10-28. Available at SSRN: http://ssrn.com/abstract=1704009 or http://dx.doi.org/10.2139/ssrn.1704009

Contact Information

Chris William Sanchirico (Contact Author)
University of Pennsylvania Law School ( email )
3501 Sansom Street
Philadelphia, PA 19104
United States
215-898-4220 (Phone)
HOME PAGE: http://www.law.upenn.edu/faculty/csanchir/
University of Pennsylvania Wharton School - Business Economics and Public Policy Department
3641 Locust Walk
Philadelphia, PA 19104-6372
United States
Urban-Brookings Tax Policy Center ( email )
Urban Institute
2100 M Street NW
Washington, DC 20009
United States
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 515
Downloads: 122
Download Rank: 116,445
References:  153

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo5 in 0.437 seconds