Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

The PollyVote Forecast for the 2024 US Presidential Election

Bibliographic Data

ID12379470
AuthorsAndreas Graefe (0000-0001-6406-8811, Hochschule Macromedia, corresponding author)
Year2024
Volume58
Issue2
Pages306-311
Publication date2024-10-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePS Political Science & Politics (JOURNAL)
Journal identifiersISSN: 1049-0965 • E-ISSN: 1537-5935
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s104909652400101x
OpenAlexW4403442279
LanguageEN
Citations received1
References cited9

Originally founded in 2004 to improve election forecasting accuracy through evidence-based methods, the PollyVote project applies the principle of combining forecasts to predict the outcome of US presidential elections. The 2024 forecast uses the same methodology as in previous elections by combining forecasts from four methods: polls, expectations, models, and naive forecasts. By averaging within and across these methods, PollyVote predicts a close race, giving Kamala Harris a slight edge over Donald Trump in both the two-party popular vote (50.8 vs. 49.2%) and the Electoral College (276 vs. 262 votes). The forecast gives Harris a 65% chance of winning the popular vote and a 56% chance of winning the Electoral College, making both outcomes toss-ups. Compared to the combined PollyVote, component forecasts that rely on trial-heat polls tend to favor Harris, whereas methods that rely on alternative measures are less optimistic about the Democratic candidate’s chances. The polls may be overestimating Harris’s lead

Economics · Political economy · Political science · Politics · Presidential election · Forecasting Techniques and Applications · Law · Monetary Policy and Economic Impact

  • Prospective voting and the issues and leaders model

    Open Access•Andreas Graefe•Research & Politics•2025

  • The Combination of Forecasts

    Open Access•John M Bates, Clive W J Granger•Journal of the Operational…•1969

  • The PollyVote Forecast for the 2016 American Presidential Election

    Open Access•Andreas Graefe, Randall J Jones et al.•PS Political Science & Politics•2016

  • Combining Forecasts for the 2022 French Presidential Election

    Open Access•Andreas Graefe•PS Political Science & Politics•2022

  • The PollyVote Popular Vote Forecast for the 2020 US Presidential Election

    Open Access•J Scott Armstrong, Andreas Graefe•PS Political Science & Politics•2020

  • Accuracy of Vote Expectation Surveys in Forecasting Elections

    Andreas Graefe•Public Opinion Quarterly•2014

  • Accuracy of Combined Forecasts for the 2012 Presidential Election

    Open Access•Andreas Graefe, J Scott Armstrong et al.•PS Political Science & Politics•2014

  • Combining Forecasts for the 2021 German Federal Election

    Open Access•Andreas Graefe•PS Political Science & Politics•2022

  • Of Issues and Leaders

    Open Access•Andreas Graefe•PS Political Science & Politics•2021

  • The 2020 (Re)Election According to the Iowa Electronic Markets

    Open Access•Thomas S Gruca, Thomas A Rietz•PS Political Science & Politics•2021

Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae