Social Choice, Optimal Inference and Figure Skating
We approach the social choice problem as one of optimal statistical inference. If individual voters or judges observe the true order ona set of alternatives with error, then it is possible to use the set of individual rankings to make probability statements about the correct social order. Given the posterior distribution for orders and a suitably chosen loss function, an optimal order is one that minimises expected posterior loss. The paper develops a statistical model describing the behaviour of judges, and discusses Markov Chain Monte Carlo estimation. We also discuss criteria for choosing the appropriate loss functions. We apply our methods to a well-known problem: determining the correct ranking for figure skaters competing at the Olympic Games.
|Date of creation:||2006|
|Date of revision:|
|Contact details of provider:|| Postal: CP 8888, succursale Centre-Ville, Montréal, QC H3C 3P8|
Phone: (514) 987-8161
Web page: http://www.cirpee.org/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Truchon, Michel & Gordon, Stephen, 2009.
"Statistical comparison of aggregation rules for votes,"
Mathematical Social Sciences,
Elsevier, vol. 57(2), pages 199-212, March.
- Michel Truchon & Stephen Gordon, 2006. "Statistical Comparison of Aggregation Rules for Votes," Cahiers de recherche 0625, CIRPEE.
- Michel Truchon, 2004.
"Aggregation of Rankings in Figure Skating,"
Cahiers de recherche
- Dale J. Poirier, 1995. "Intermediate Statistics and Econometrics: A Comparative Approach," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262161494, March.
- Peyton Young, 1995. "Optimal Voting Rules," Journal of Economic Perspectives, American Economic Association, vol. 9(1), pages 51-64, Winter.
- Michel Truchon, 2005. "Aggregation of Rankings: a Brief Review of Distance-Based Rules," Cahiers de recherche 0534, CIRPEE.
When requesting a correction, please mention this item's handle: RePEc:lvl:lacicr:0624. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Manuel Paradis)
If references are entirely missing, you can add them using this form.