Election forecasting: Principles and practice

182Citations
Citations of this article
975Readers
Mendeley users who have this article in their library.

Your institution provides access to this article.

Abstract

To forecast an election means to declare the outcome before it happens. Scientific approaches to election forecasting include polls, political stock markets and statistical models. I review these approaches, with an emphasis on the last, since it offers more lead time. Consideration is given to the history and politics of statistical forecasting models of elections. Rules for evaluating such models are offered. Examples of actual models come from the United States, France and the United Kingdom, where this work is rather new. Compared to other approaches, statistical modelling seems a promising method for forecasting elections. © Political Studies Association, 2005.

Cite

CITATION STYLE

APA

Lewis-Beck, M. S. (2005). Election forecasting: Principles and practice. British Journal of Politics and International Relations, 7(2), 145–164. https://doi.org/10.1111/j.1467-856X.2005.00178.x

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free