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A Long-Range State-Level Forecast of the 2020 Presidential Election

Published online by Cambridge University Press:  15 October 2020

Jay A. DeSart Open the ORCID record for Jay A. DeSart [Opens in a new window]
Jay A. DeSart*
Affiliation:
Utah Valley University
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Abstract

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Type
Forecasting the 2020 US Elections
Information
PS: Political Science & Politics , Volume 54 , Issue 1 , January 2021 , pp. 73 - 76
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of the American Political Science Association

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References

REFERENCES

Abramowitz, Alan I. 1988. “An Improved Model for Predicting Presidential Election Outcomes.” PS: Political Science & Politics 21 (4): 843–47.Google Scholar
Berry, Michael J., and Bickers, Kenneth N.. 2012. “Forecasting the 2012 Presidential Election with State-Level Economic Indicators.” PS: Political Science & Politics 45 (4): 669–74.Google Scholar
Campbell, James E. 2016. “Forecasting the 2016 American National Elections: Introduction.” PS: Political Science & Politics 49 (4): 649–54.Google Scholar
DeSart, Jay A. 2015. “State Electoral Histories, Regime Age, and Long-Range Presidential Election Forecasts: Predicting the 2016 Presidential Election.” Presented at the 2015 Iowa Conference on Presidential Politics, Sauk Center, Iowa.Google Scholar
DeSart, Jay A., and Holbrook, Thomas M.. 2003. “Statewide Trial Heat Polls and the 2000 Presidential Election: A Forecast Model.” Social Science Quarterly 84 (4): 561–73.Google Scholar
DeSart, Jay. 2020. “Replication Data for: A Long-Range State-Level Forecast of the 2020 Presidential Election.” Harvard Dataverse. doi:10.7910/DVN/6GWHQB.Google Scholar
Jerôme, Bruno, and Jerôme-Speziari, Véronique. 2016. “State-Level Forecasts for the 2016 US Presidential Elections: Political Economy Model Predicts Hillary Clinton Victory.” PS: Political Science & Politics 49 (4): 680–86.Google Scholar
Klarner, Carl. 2012. “State-Level Forecasts of the 2012 Federal and Gubernatorial Elections.” PS: Political Science & Politics 45 (4): 680–86.Google Scholar
Norpoth, Helmut. 2013. “Time For Change: A Forecast of the 2016 Election.” Presented at the 2013 Annual Meeting of the American Political Science Association, Chicago, August 29–September 1.Google Scholar
Norpoth, Helmut. 2016. “Primary Model Predicts Trump Victory.” PS: Political Science & Politics 49 (4): 655–58.Google Scholar
Supplementary material: Link

DeSart Dataset

Dataset

https://doi.org/10.7910/DVN/6GWHQB
Link
Supplementary material: PDF

DeSart supplementary material

Online Appendix

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