Armstrong, Scott (2016) Our biographical model predicts Clinton would defeat Trump by a landslide, but would be tied with Cruz. USApp – American Politics and Policy Blog (15 Apr 2016). Website.
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Abstract
As 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.
| Item Type: | Online resource (Website) |
|---|---|
| Official URL: | http://blogs.lse.ac.uk/usappblog/ |
| Additional Information: | © 2016 The Authors, USApp – American Politics and Policy Blog, The London School of Economics and Political Science © CC BY-NC 3.0 |
| Divisions: | LSE |
| Subjects: | E History America > E151 United States (General) J Political Science > JK Political institutions (United States) |
| Date Deposited: | 04 May 2016 11:36 |
| Last Modified: | 15 Sep 2023 20:16 |
| URI: | http://eprints.lse.ac.uk/id/eprint/66344 |
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