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Exit polling in a cold climate: the BBC–ITV experience in Britain in 2005

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  • John Curtice
  • David Firth

Abstract

Summary. Conducting an exit poll to forecast the outcome of a national election in terms of both votes and seats is particularly difficult in Britain. No official information is available on how individual polling stations voted in the past, use of single‐member plurality means that there is no consistent relationship between votes and seats, electors can choose to vote by post and most of those who vote in person do so late in the day. In addition, around one in every six intended exit poll respondents refuses to participate. Methods that were developed to overcome these problems, and their use in the successful 2005 British Broadcasting Corporation–Independent Television exit poll, are described and evaluated. The methodology included a panel design to allow the estimation of electoral change at local level, coherent multiple‐regression modelling of multiparty electoral change to capture systematic patterns of variation, probabilistic prediction of constituency winners to account for uncertainty in projected constituency level shares, collection of information about the voting intentions of postal voters before polling day and access to interviewer guesses on the voting behaviour of refusals. The coverage and accuracy of the exit poll data are critically examined, the effect of key aspects of the statistical modelling of the data is assessed and some general lessons are drawn for the design and analysis of electoral exit polls.

Suggested Citation

  • John Curtice & David Firth, 2008. "Exit polling in a cold climate: the BBC–ITV experience in Britain in 2005," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 509-539, June.
  • Handle: RePEc:bla:jorssa:v:171:y:2008:i:3:p:509-539
    DOI: 10.1111/j.1467-985X.2007.00536.x
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    References listed on IDEAS

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    1. Graham J. G. Upton, 1994. "Picturing the 1992 British General Election," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 157(2), pages 231-252, March.
    2. P. J. Brown & D. Firth & C. D. Payne, 1999. "Forecasting on British election night 1997," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(2), pages 211-226.
    3. Tufte, Edward R., 1973. "The Relationship between Seats and Votes in Two-Party Systems," American Political Science Review, Cambridge University Press, vol. 67(2), pages 540-554, June.
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    Cited by:

    1. Roland Langrock & Nils-Bastian Heidenreich & Stefan Sperlich, 2014. "Kernel-based semiparametric multinomial logit modelling of political party preferences," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(3), pages 435-449, August.
    2. Stephen D. Fisher & Jouni Kuha & Clive Payne, 2010. "Getting it right on the night, again-the 2010 UK general election exit poll," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(4), pages 699-701.
    3. Wiśniowski, Arkadiusz & Bijak, Jakub & Forster, Jonathan J. & Smith, Peter W.F., 2019. "Hierarchical model for forecasting the outcomes of binary referenda," Computational Statistics & Data Analysis, Elsevier, vol. 133(C), pages 90-103.
    4. Jose M. Pavía & Antonio López-Quílez, 2013. "Spatial vote redistribution in redrawn polling units," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 655-678, June.
    5. Trevor Fenner & Mark Levene & George Loizou, 2018. "A multiplicative process for generating the rank-order distribution of UK election results," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(3), pages 1069-1079, May.
    6. Bruce Edmonds, 2010. "Bootstrapping Knowledge About Social Phenomena Using Simulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(1), pages 1-8.

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