Replication Data for: A Long-Range State-Level Forecast of the 2020 Presidential Election
收藏NIAID Data Ecosystem2026-03-12 收录
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Most U.S. presidential election forecast models produce forecasts three to five months in advance of the election, and often only generate a prediction of the national popular vote. This paper presents a model that generates predictions of state-level outcomes a year in advance of the election, which can then be extrapolated up to national popular vote and Electoral College projections. This model suggests a high probability of Biden victory in 2020.
创建时间：
2020-09-18
