Statistical models for forecasting American elections
| dc.contributor.author | Morris, G. Elliott | |
| dc.date.accessioned | 2020-10-09T20:39:12Z | |
| dc.date.available | 2020-10-09T20:39:12Z | |
| dc.date.issued | 2020-10-09 | |
| dc.description.abstract | G. Elliott Morris is a data journalist at The Economist and writes mostly about American politics and elections, usually by engaging in a close study of political science, political polling and demographic data. He is responsible for many of The Economist’s election forecasting models, including their 2020 US presidential election forecast. | |
| dc.identifier.uri | https://hdl.handle.net/2022/25855 | |
| dc.language.iso | en | |
| dc.publisher | Indiana University Workshop in Methods | |
| dc.relation.uri | https://iu.mediaspace.kaltura.com/media/1_zatbr4cw | |
| dc.rights | This work may be protected by copyright unless otherwise stated. | |
| dc.title | Statistical models for forecasting American elections | |
| dc.type | Presentation |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 2020-10-09_wim_morris_forecasting-elections_slides.pdf
- Size:
- 3.36 MB
- Format:
- Adobe Portable Document Format
- Description:
- Presentation slides
Collections
Can’t use the file because of accessibility barriers? Contact us