Predicting presidential election results
David Walker
Applied Economics, 2006, vol. 38, issue 5, 483-490
Abstract:
The 2004 US presidential election proved again how difficult it is to predict vote shares on the basis of polls. Midday media exit polls suggested that Senator Kerry would become the 44th President. Political scientists and econometricians, led by Ray Fair, have promulgated theoretical arguments and empirical results to predict US presidential elections, using macro-economic data and political factors. Respecifying Fair's war variable to include Korea and Vietnam and removing serial correlation improves his election forecasting without public opinion poll variables. This generalized Fair model predicts President Bush's two-party vote share would be 52.3 percent, well below predictions by Fair and prestigious political scientists.
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00036840500391385 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:38:y:2006:i:5:p:483-490
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036840500391385
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().