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Forecasting the 2024 US Elections: Presidential and Congressional Models
Fri, September 6, 2:00 to 3:30pm, Marriott Philadelphia Downtown, 415Session Submission Type: Created Panel
Session Description
All too often, forecasts for US congressional elections are overlooked, especially in presidential election years. These papers address this gap by presenting forecasting models for presidential and congressional outcomes.
Sub Unit
Individual Presentations
Iowa Electronic Markets: Forecasting the 2024 U.S. Elections - Thomas S. Gruca, University of Iowa; Thomas Rietz
Economic Expectations and Election Forecasting: Presidential and House Models - Brad Lockerbie, East Carolina University
State-Level Forecasts for the 2024 US Presidential Election - Bruno Jerome, University of Paris II Pantheon Assas; Veronique Jerome, University of Paris Saclay; Philippe Mongrain, University of Antwerp; Richard Nadeau, University of Montreal
Political Economy Forecasting Models for 2024 - Charles P. Tien, CUNY, Hunter College & The Graduate Center
What Affects Citizen Forecasts’ Accuracy? - A Meta-Analysis - Hannah Rajski, University of Mannheim