For most commentators and pollsters, Donald Trump’s victory in the 2016 presidential election came as a sharp surprise. Charles Tien and Michael S. Lewis-Beck examine how political science modelers performed in their election predictions compared to poll aggregators and to the national polls. When looking at Hillary Clinton’s share of the two-party vote, they find that political science models […]
Using citizen forecasts we predict that with 362 electoral votes, Hillary Clinton will be the next president
Who will be the next US President? Some commentators have argued that voter intention polls are flawed because it is difficult to know who will actually turn out to vote. To get around this problem, Andreas Murr, Mary Stegmaier, and Michael S. Lewis-Beck use citizen forecasts, a “who do you think will win” survey question, to predict the election […]
To improve their predictions, election forecasters should look to other disciplines like meteorology.
The recent surge in public attention to election predictions has generated much discussion about how to improve forecasting model accuracy. Michael S. Lewis-Beck and Mary Stegmaier argue that advances in weather forecasting hold lessons for election forecasting. First, like weather models, election models should be based on sound theory. Second, more intensive data gathering, especially at the state level […]