Testing the accuracy of the Downs' spatial voter model on forecasting the winners of the French parliamentary elections in May-June 2007
This paper emphasizes a method of forecasting electoral outcomes based on the spatial approach of Harold Hotelling and Anthony Downs' basic model of democracy. This method of forecasting the outcome of presidential elections departs from the standard approach that uses regression models of the popular vote based on a reward-punishment analysis for citizens, as well as other methods like Delphi experts surveys or futures markets for election and probability methods based on opinion polls. Anthony Downs discusses at some length the crucial role of the form of the distribution of preferences along the political left-right scale (unimodal, bimodal or multimodal) and the key role of the location of the overall median voter on this distribution in selecting the winner. The median voter theorem says the winner of the election will be the leader of the camp whose own median voter is closest to the overall median voter. We test the accuracy of this argument "à la Downs", both on a small sample of eight French presidential elections and on a large sample consisting of the 577 constituencies of the French parliamentary election of 2007.
References listed on IDEAS
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.:
- M. Ruth & K. Donaghy & P. Kirshen, 2006. "Introduction," Chapters, in: Regional Climate Change and Variability, chapter 1 Edward Elgar.
- Anthony Downs, 1957. "An Economic Theory of Political Action in a Democracy," Journal of Political Economy, University of Chicago Press, vol. 65, pages 135.
- Jones Jr., Randall J., 2008. "The state of presidential election forecasting: The 2004 experience," International Journal of Forecasting, Elsevier, vol. 24(2), pages 310-321.
- Christopher F Baum, 2006. "An Introduction to Modern Econometrics using Stata," Stata Press books, StataCorp LP, number imeus, November.
When requesting a correction, please mention this item's handle: RePEc:eee:intfor:v:26:y::i:1:p:32-41. 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: (Zhang, Lei)
If references are entirely missing, you can add them using this form.