Sudulich, Laura, Wall, Matthew, Cunningham, Kevin (2011) What are the odds? Using online betting markets to predict the 2010 UK election result. Journal of Elections, Public Opinion and Parties, 22 (1). pp. 3-26. ISSN 1745-7289. (doi:10.1080/17457289.2011.629727) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:66203)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: https://doi.org/10.1080/17457289.2011.629727 |
Abstract
This article investigates methodologies for translating data from constituency betting markets in each of the UK's 650 constituencies into national-level predictions of parties' seat shares for the 2010 House of Commons election. We argue that information from betting markets is highly disaggregated (offering candidate-level predictions), adjustable throughout the campaign, and free to access – meaning that such data should be a useful resource for electoral forecasters. However, we find that constituency-market gambling data from the site Betfair.com proved to be a relatively poor basis for predicting party seat shares, and we also find evidence suggesting that the data were systematically biased in several ways. Nonetheless, we argue that future research in this area should compensate for these biases to harness the potential of constituency prediction markets for electoral forecasting.
Item Type: | Article |
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DOI/Identification number: | 10.1080/17457289.2011.629727 |
Subjects: |
J Political Science J Political Science > JN Political institutions and public administration (Europe) |
Divisions: | Divisions > Division of Human and Social Sciences > School of Politics and International Relations |
Depositing User: | Laura Sudulich |
Date Deposited: | 28 Feb 2018 14:16 UTC |
Last Modified: | 05 Nov 2024 11:04 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/66203 (The current URI for this page, for reference purposes) |
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