Electoral College bias and the 2020 presidential election

被引:8
作者
Erikson, Robert S. [1 ]
Sigman, Karl [2 ]
Yao, Linan [1 ]
机构
[1] Columbia Univ, Dept Polit Sci, New York, NY 10027 USA
[2] Columbia Univ, Dept Ind Engn & Operat Res, New York, NY 10027 USA
关键词
elections; president; Electoral College; simulations;
D O I
10.1073/pnas.2013581117
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Donald Trump's 2016 win despite failing to carry the popular vote has raised concern that 2020 would also see a mismatch between the winner of the popular vote and the winner of the Electoral College. This paper shows how to forecast the electoral vote in 2020 taking into account the unknown popular vote and the con-figuration of state voting in 2016. We note that 2016 was a statistical outlier. The potential Electoral College bias was slimmer in the past and not always favoring the Republican candidate. We show that in past presidential elections, difference among states in their presidential voting is solely a function of the states' most recent presidential voting (plus new shocks); earlier history does not matter. Based on thousands of simulations, our research suggests that the bias in 2020 probably will favor Trump again but to a lesser degree than in 2016. The range of possible outcomes is sufficiently wide, however, to even include some possibility that Joseph Biden could win in the Electoral College while barely losing the popular vote.
引用
收藏
页码:27940 / 27944
页数:5
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