State-Level Forecasts for the 2024 US Presidential Election
Trump Back with a Vengeance
Bibliographic Data
| ID | 6098952 |
|---|---|
| Authors | Philippe Mongrain (0000-0002-2117-8858, University of Antwerp), Richard Nadeau (0009-0005-1392-3538, Université de Montréal), Bruno Jerôme (0000-0003-1399-8116, Université Paris-Panthéon-Assas), Véronique Jérôme (Université Paris Cité) |
| Year | 2025 |
| Volume | 58 |
| Issue | 2 |
| Pages | 234-243 |
| Publication date | 2025-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | PS Political Science & Politics (JOURNAL) |
| Journal identifiers | ISSN: 1049-0965 • E-ISSN: 1537-5935 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s104909652400088x |
| OpenAlex | W4403437609 |
| Language | EN |
| Citations received | 1 |
The outcome of the 2016 election made it abundantly clear that victory in US presidential contests depends on the Electoral College much more than on direct universal suffrage. This fact points to the importance of using state-level models to arrive at adequate predictions of winners and losers in US presidential elections. In fact, the use of a model disaggregated to the state level and focusing on three types of measures—namely, changes in the unemployment rate, presidential popularity, and indicators of long-term patterns in the regional strength of the Democratic and Republican parties—has in the past enabled us to produce fairly accurate forecasts of the number of Electoral College votes for the presidential candidates of the two major American parties. In this article, we bring various modifications to this model to improve its overall accuracy. With Joe Biden out of the race, this revised model predicts that Donald Trump will succeed in winning back the presidency with 341 electoral votes against 197 for Kamala Harris
Economics · Political economy · Political science · Politics · Presidential election · Presidential system · Computer Science · Fiscal Policies and Political Economy · Law · Public Administration
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |