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Self-financed wagering mechanisms for forecasting
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Electronic Commerce archive
Proceedings of the 9th ACM conference on Electronic commerce table of contents
Chicago, Il, USA
SESSION: Prediction markets table of contents
Pages 170-179  
Year of Publication: 2008
ISBN:978-1-60558-169-9
Authors
Nicolas S. Lambert  Stanford University, Stanford, CA, USA
John Langford  Yahoo! Research, New York, NY, USA
Jennifer Wortman  University of Pennsylvania, Philadelphia, PA, USA
Yiling Chen  Yahoo! Research, New York, NY, USA
Daniel Reeves  Yahoo! Research, New York, NY, USA
Yoav Shoham  Stanford University, Stanford, CA, USA
David M. Penno k  Yahoo! Research, New York, NY, USA
Sponsors
ACM: Association for Computing Machinery
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
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ABSTRACT

We examine a class of wagering mechanisms designed to elicit truthful predictions from a group of people without requiring any outside subsidy. We propose a number of desirable properties for wagering mechanisms, identifying one mechanism - weighted-score wagering - that satisfies all of the properties. Moreover, we show that a single-parameter generalization of weighted-score wagering is the only mechanism that satisfies these properties. We explore some variants of the core mechanism based on practical considerations.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Nicolas S. Lambert: colleagues
John Langford: colleagues
Jennifer Wortman: colleagues
Yiling Chen: colleagues
Daniel Reeves: colleagues
Yoav Shoham: colleagues
David M. Penno k: colleagues