This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Back to the St. Petersburg Paradox?

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Pavlo Blavatskyy
Abstract

Conventional parameterizations of cumulative prospect theory do not explain the St. Petersburg paradox. To do so, the power coefficient of an individual's utility function must be lower than the power coefficient of an individual's probability weighting function.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.cerge-ei.cz/pdf/wp/Wp227.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by The Center for Economic Research and Graduate Education - Economic Institute, Prague in its series CERGE-EI Working Papers with number wp227.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Jul 2004
Date of revision:
Handle: RePEc:cer:papers:wp227

Contact details of provider:
Postal: Politickych veznu 7, Praha 1
Phone: (+420) 224 005 180
Fax: (+420) 224 005 134
Email:
Web page: http://www.cerge-ei.cz
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Jana Koudelkova).

Related research
Keywords: EUT; Cumulative prospect theory; St. Petersburg paradox; Power utility; Probability ; Weighting.;

Find related papers by JEL classification:
C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

Statistics
Access and download statistics

Did you know? Authors registered on the RePEc Author Service receive monthly emails with details about downloads and abstract views of their works.

This page was last updated on 2009-11-5.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.