Replication Data for: Predicting Popular Vote Shares in US Presidential Elections: a Model-Based Strategy Relying on ANES Data

These replication data include a readapted version of the 2012, 2016, and 2020 ANES Time Series Studies, containing only the variables relevant to the analysis performed in the study "Predicting Popular Vote Shares in US Presidential Elections: a Model-Based Strategy Relying on ANES Data", published as part of the Special Issue on Forecasting the 2024 Presidential Elections in PS: Political Science and Politics (Guest Editors: Mary Stegmaier and Philippe Mongrain). The folder also includes the corresponding Stata scripts used for recoding the original variables and conducting the standard and Bayesian logistic regression models presented in the publication.