A combinatorial prediction market for the U.S. elections

Miroslav Dudík, Sebastien Lahaie, David M. Pennock, David Rothschild

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

We report on a large-scale case study of a combinatorial prediction market. We implemented a back-end pricing engine based on Dudík et al.'s [2012] combinatorial market maker, together with a wizard-like front end to guide users to constructing any of millions of predictions about the presidential, senatorial, and gubernatorial elections in the United States in 2012. Users could create complex combinations of predictions and, as a result, we obtained detailed information about the joint distribution and conditional estimates of election results. We describe our market, how users behaved, and how well our predictions compared with benchmark forecasts. We conduct a series of counterfactual simulations to investigate how our market might be improved in the future. Categories and Subject Descriptors: J.4 [Social and Behavioral Sciences]: Economics General Terms: Economics.

Original languageEnglish (US)
Title of host publicationEC 2013 - Proceedings of the 14th ACM Conference on Electronic Commerce
PublisherAssociation for Computing Machinery
Pages341-358
Number of pages18
ISBN (Print)9781450319621
DOIs
StatePublished - 2013
Externally publishedYes
Event14th ACM Conference on Electronic Commerce, EC 2013 - Philadelphia, PA, United States
Duration: Jun 16 2013Jun 20 2013

Publication series

NameProceedings of the ACM Conference on Electronic Commerce

Conference

Conference14th ACM Conference on Electronic Commerce, EC 2013
Country/TerritoryUnited States
CityPhiladelphia, PA
Period6/16/136/20/13

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Computer Science Applications

Keywords

  • Combinatorial security
  • Elections
  • Market maker
  • Prediction market

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