Replication Data for: Citizen Forecasting in a Mixed Electoral System The 2021 German federal election as a test case

Name: Replication Data for: Citizen Forecasting in a Mixed Electoral System The 2021 German federal election as a test case
Creator: University Witten/Herdecke; University of Warwick; Chemnitz University of Technology; Hertie School
Published: 2025-01-01T00:00:00+08:00

Harvard Dataverse2025-03-07 更新2026-04-09 收录

选举预测

预测方法

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/XKHTYB 数据链接链接失效反馈

官方服务：

资源简介：

Replication materials for: Leininger, Arndt, Andreas Murr, Lukas Stötzer and Mark Kayser (2025): "Citizen Forecasting in a Mixed Electoral System The 2021 German federal election as a test case", International Journal of Forecasting, forthcoming

提供机构：

University Witten/Herdecke; University of Warwick; Chemnitz University of Technology; Hertie School

创建时间：

2025-01-01