A Political-History Forecast Model of Congressional Elections: Lessons Learned from Campaign 2022

被引:0
|
作者
Quinlan, Stephen [1 ]
Lewis-Beck, Michael S. [2 ]
机构
[1] GESIS Leibniz Inst Social Sci, Mannheim, Germany
[2] Univ Iowa, Polit Sci, Iowa City, IA USA
关键词
forecasting; history; Senate; elections;
D O I
10.1086/725252
中图分类号
D0 [政治学、政治理论];
学科分类号
0302 ; 030201 ;
摘要
引用
收藏
页数:6
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