Add to ORKGAs the 2016 election season rolls on, it is looking increasingly likely that former Secretary of State Hillary Clinton will square off against New York billionaire Donald Trump in the general election. But what determines how voters decide which candidate to support? Scott Armstrong and Andreas Graefe have developed a bio-index model that predicts presidential election outcomes based on candidates’ biographies by capturing information such as a candidate’s family history, education, or political experience. The model predicts that Hillary Clinton would beat Donald Trump by a landslide, gaining nearly 60 percent of the vote
When deciding for whom to vote, voters should select the candidate they expect to best handle issues...
With every election come new and different models of forecasting the results. With presidential elec...
The PollyVote project predicts the outcome of US presidential elections by combining forecasts from ...
Using the index method, we developed the PollyBio model to predict election outcomes. The model, bas...
We used 59 biographical variables to create a “bio-index ” for forecasting U.S. presidential electio...
We used 59 biographical variables to create a “bio-index” for forecasting U.S. presidential election...
Abstract. Traditional election forecasting models are estimated from time-series data on relevant va...
This paper establishes a model to forecast the Presidential election outcomes, particularly the 2016...
Ideally, presidential elections should be decided based on how the candidates would handle issues fa...
Prior research found that people’s assessments of relative competence predicted the outcome of Senat...
Who will be the next US President? Some commentators have argued that voter intention polls are flaw...
The Issues and Leaders model predicts the national popular two-party vote in US presidential electio...
Political scientists have created numerous forecasting models for elections worldwide. In the United...
Prior research found that people\u27s assessments of relative competence predicted the outcome of Se...
Ideally, presidential elections should be decided based on how the candidates would handle issues fa...
When deciding for whom to vote, voters should select the candidate they expect to best handle issues...
With every election come new and different models of forecasting the results. With presidential elec...
The PollyVote project predicts the outcome of US presidential elections by combining forecasts from ...
Using the index method, we developed the PollyBio model to predict election outcomes. The model, bas...
We used 59 biographical variables to create a “bio-index ” for forecasting U.S. presidential electio...
We used 59 biographical variables to create a “bio-index” for forecasting U.S. presidential election...
Abstract. Traditional election forecasting models are estimated from time-series data on relevant va...
This paper establishes a model to forecast the Presidential election outcomes, particularly the 2016...
Ideally, presidential elections should be decided based on how the candidates would handle issues fa...
Prior research found that people’s assessments of relative competence predicted the outcome of Senat...
Who will be the next US President? Some commentators have argued that voter intention polls are flaw...
The Issues and Leaders model predicts the national popular two-party vote in US presidential electio...
Political scientists have created numerous forecasting models for elections worldwide. In the United...
Prior research found that people\u27s assessments of relative competence predicted the outcome of Se...
Ideally, presidential elections should be decided based on how the candidates would handle issues fa...
When deciding for whom to vote, voters should select the candidate they expect to best handle issues...
With every election come new and different models of forecasting the results. With presidential elec...
The PollyVote project predicts the outcome of US presidential elections by combining forecasts from ...