![]() Department of History & Political Science Receive daily updates of this forecast until Election Day via Twitter Follow @JADPhD |
Presidential Election Forecasting |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DeSart and Holbrook Forecast ModelDr. Jay DeSart, Associate Professor of Political Science - Utah Valley UniversityDr. Thomas Holbrook, Wilder Crane Professor of Government - University of Wisconsin-Milwaukee UPDATE - The final Election Day update of our rolling forecast model now predicts that Barack Obama will win the election with 51.37% of the national 2-party popular vote to Mitt Romney's 48.63%. The model also predicts that Obama will win the presidency with 303 electoral votes to Romney's 235. Based on these results, there is a 88.62% probability that Barack Obama will win the election. Details UPDATE: Election Night: The Paths to 270 - What our model suggests you should look for, and when to look for it on election night. October 3, 2012 - The election forecast model we have developed predicts a victory for Barack Obama over Mitt Romney on November 6th. The model, which is based on state and national polling data as well as state historical voting patterns, predicts that President Obama will receive 53.13% of the national 2-party popular vote to Mitt Romney's 46.87%. Furthermore, the model predicts that President Obama will win the Electoral College vote, 332 - 206. The model that we have used to generate this forecast was originally published in the International Journal of Forecasting in 1999, and has undergone significant refinement since that time. Our most recent update was presented at the 2009 Meeting of the Western Political Science Association, and was ultimately published in Putcha, C., ed. Methods of Forecasting American Election Outcomes. Lewiston: Edwin Mellen Press, 2010. It has been used to generate fairly accurate predictions of the last two presidential elections. Our research, which looks at data from the elections from 1992 - 2008, shows that the model correctly predicts just over 90% of all state outcomes, predicts the national popular vote to within an average of 0.5% of the 2-party vote, and predicts the Electoral College vote to within 24 Electoral Votes. ![]() Here are the state predictions, along with their respective win probabilities, as projected by the model:
Based on these state win probabilities, the distribution of possible Electoral College outcomes looks like this: the necessary 270 Electoral Votes he needs in order to win re-election. |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||