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! ]

Public Information Bias and Prediction Market Accuracy

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Thomas S. Gruca
Joyce E. Berg
Abstract

How do prediction markets achieve high levels of accuracy? We propose that, in some situations, traders in prediction markets improve upon publicly available information. Specifically, when there is a known bias in publicly available information, markets provide an incentive for traders to "de-bias" this information. In such a situation, a prediction market will provide a more accurate forecast than the public information available to traders. We test our conjecture using real-money prediction markets for seven local elections in the United States. We find that the prediction market forecasts are significantly more accurate than those generated using the pre-election polls.

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.ingentaconnect.com/content/ubpl/jpm/2007/00000001/00000003/art00004
File Format: text/html
File Function:
Download Restriction: no

Publisher Info
Article provided by University of Buckingham Press in its journal Journal of Prediction Markets.

Volume (Year): 1 (2007)
Issue (Month): 3 (December)
Pages: 219-231
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:buc:jpredm:v:1:y:2007:i:3:p:219-231

Contact details of provider:
Web page: http://www.ubpl.co.uk/

Order Information:
Email:
Web: http://www.predictionmarketjournal.com/index_files/Page418.htm

For technical questions regarding this item, or to correct its listing, contact: (Victor Matheson, College of the Holy Cross).

Related research
Keywords: PREDICTION MARKETS; INFORMATION AGGREGATION; ELECTION FORECASTING; PUBLIC INFORMATION;

Statistics
Access and download statistics

Did you know? You can include your works in the database easily by uploading them on the Munich Personal RePEc Archive (MPRA) if you do not have access to an institutional RePEc archive.

This page was last updated on 2009-12-13.


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.