Hostname: page-component-78c5997874-8bhkd Total loading time: 0 Render date: 2024-11-14T16:52:04.386Z Has data issue: false hasContentIssue false
  • English
  • Français

Introduction to Forecasting the 2020 US Elections

Published online by Cambridge University Press:  15 October 2020

Ruth Dassonneville Open the ORCID record for Ruth Dassonneville [Opens in a new window]  and
Charles Tien Open the ORCID record for Charles Tien [Opens in a new window]
Ruth Dassonneville
Affiliation:
Université de Montréal
Charles Tien
Affiliation:
Hunter College and The Graduate Center, CUNY
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Forecasting the 2020 US Elections
Information
PS: Political Science & Politics , Volume 54 , Issue 1 , January 2021 , pp. 47 - 51
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of the American Political Science Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Abramowitz, Alan I. 1988. “An Improved Model for Predicting Presidential Election Outcomes.” PS: Political Science & Politics 21 (4): 843–46.Google Scholar
Abramowitz, Alan I. 2012. “Forecasting in a Polarized Era: The Time for Change Model and the 2012 Presidential Election.” PS: Political Science & Politics 45 (4): 618–19.Google Scholar
Abramowitz, Alan I. 2020. “‘It’s the Pandemic, Stupid!’ A Simplified Model for Forecasting the 2020 Presidential Election.” PS: Political Science & Politics doi:10.1017/S1049096520001389.Google Scholar
Brody, Richard, and Sigelman, Lee. 1983. “Presidential Popularity and Presidential Elections: An Update and Extension.” Public Opinion Quarterly 47 (3): 325–28.Google Scholar
Campbell, James E. 2017. “A Recap of the 2016 Elections.” PS: Political Science & Politics 50 (2): 331–32.Google Scholar
Campbell, James E., and Wink, Kenneth A.. 1990. “Trial-Heat Forecasts of the Presidential Vote.” American Politics Quarterly 18 (3): 251–69.Google Scholar
Cuzán, Alfred G. 2020. “The Campbell Collection of Presidential Election Forecasts: 1984–2016 A Review.” PS: Political Science & Politics doi:10.1017/S1049096520001341.Google Scholar
Dowding, Keith. 2020. “Why Forecast? The Value of Forecasting to Political Science.” PS: Political Science & Politics doi:10.1017/S104909652000133X.Google Scholar
Erikson, Robert S., and Wlezien, Christopher. 1996. “Of Time and Presidential Election Forecasts.” PS: Political Science & Politics 29 (1): 37–39.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
John Hopkins Coronavirus Resource Center. 2020. “COVID-19 in the USA.” Available at https://coronavirus.jhu.edu (accessed August 21, 2020).Google Scholar
Kennedy, Courtney, Blumenthal, Mark, Clement, Scott, Clinton, Joshua D., and Durand, Claire. 2018. “An Evaluation of the 2016 Election Polls in the United States.” Public Opinion Quarterly 82 (1): 1–33.Google Scholar
Lewis-Beck, Michael S., and Rice, Tom W.. 1984. “Forecasting Presidential Elections: A Comparison of Naïve Models.” Political Behavior 6 (1): 9–21.Google Scholar
Lewis-Beck, Michael S., and Tien, Charles. 1996. “The Future in Forecasting: Prospective Presidential Models.” American Politics Quarterly 24 (4): 468–91.Google Scholar
Lewis-Beck, Michael S., and Tien, Charles. 2020. “The Political Economy Model: A Blue Wave Forecast for 2020.” PS: Political Science & Politics doi:10.1017/S1049096520001365.Google Scholar
Lockerbie, Brad. 2000. “Election Forecasting: A Look to the Future.” In Before the Vote, ed. Garand, James C. and Campbell, James E., 133–44. Beverly Hills, CA: SAGE Press.Google Scholar
Victor, Jennifer. 2020. “Let’s Be Honest about Election Forecasting.” PS: Political Science & Politics doi:10.1017/S1049096520001432.Google Scholar
World Bank. 2020. The Global Economic Outlook During the COVID-19 Pandemic: A Changed World. Available at www.worldbank.org/en/news/feature/2020/06/08/the-global-economic-outlook-during-the-covid-19-pandemic-a-changed-world (accessed August 21, 2020).Google Scholar