Forecasting Canadian Federal Elections

2010 ◽  
Vol 43 (04) ◽  
pp. 691-699 ◽  
Author(s):  
Éric Bélanger ◽  
Jean-François Godbout

AbstractIn recent decades, the scientific forecasting of election outcomes has made great strides in a number of advanced industrial democracies. One country that has not received much attention to date is Canada. In this article, we present a vote function model to forecast Canadian federal elections. We explain our model's theoretical underpinnings and assess its statistical properties and forecasting capabilities against all federal elections held between 1953 and 2008. We then explore potential ways for improving the model's accuracy. We conclude by discussing the forecast of different hypothetical scenarios for an upcoming federal election.

Author(s):  
Éric Bélanger ◽  
Michael S. Lewis-Beck ◽  
Richard Nadeau

Recently, we proposed an original statistical model for forecasting general elections in the United Kingdom, based on the observation of a few key indicators of the political and economic system. That vote function model was tested against the results of the 2001 general election. Here we evaluate the results of that test, and offer an appropriately revised model for the forecasting of the upcoming 2005 general election. According to our forecast, a Labour victory appears the most likely outcome.


2019 ◽  
Vol 33 (7) ◽  
pp. 1007-1019 ◽  
Author(s):  
Ryan A. Mace ◽  
Abigail B. Waters ◽  
Kayle S. Sawyer ◽  
Taylor Turrisi ◽  
David A. Gansler

1982 ◽  
Vol 43 (4) ◽  
pp. 585-589 ◽  
Author(s):  
M. N. Bussac ◽  
C. Meunier

1990 ◽  
Vol 37 (4) ◽  
pp. 535-550 ◽  
Author(s):  
Fred C. Pampel ◽  
John B. Williamson ◽  
Robin Stryker

1998 ◽  
Vol 2 ◽  
pp. 141-148
Author(s):  
J. Ulbikas ◽  
A. Čenys ◽  
D. Žemaitytė ◽  
G. Varoneckas

Variety of methods of nonlinear dynamics have been used for possibility of an analysis of time series in experimental physiology. Dynamical nature of experimental data was checked using specific methods. Statistical properties of the heart rate have been investigated. Correlation between of cardiovascular function and statistical properties of both, heart rate and stroke volume, have been analyzed. Possibility to use a data from correlations in heart rate for monitoring of cardiovascular function was discussed.


Sign in / Sign up

Export Citation Format

Share Document