Department of Political Science, Florida State University, Tallahassee, Florida, United States of America.
Department of Political Science, University of New Mexico, Albuquerque, New Mexico, United States of America.
PLoS One. 2022 Sep 15;17(9):e0274357. doi: 10.1371/journal.pone.0274357. eCollection 2022.
While the evidence is clear that 2020 voters shifted away from Election Day voting in favor of vote-by-mail and early voting, we know very little about how health risk versus party polarization around risk assessment influenced how and when to vote. We rely on individual-level observational data in the form of high-quality official voter administrative records from the State of New Mexico to ask how pandemic-related risk factors, especially voter age along with partisanship influenced voter decision-making. To identify causal factors, we use a difference-in-differences design and hazard model that compare 2020 general election and primary voter behavior to 2018 and 2016. We find that age and party were large factors in vote mode decisions in 2020, but not in 2016 or 2018. We consider the implications of our findings on how health risk and partisanship interact to influence decision-making.
虽然有明确的证据表明,2020 年的选民投票方式从选举日投票转向了邮寄投票和提前投票,但我们对健康风险与风险评估的党派极化如何影响投票方式和时间知之甚少。我们依赖于新墨西哥州高质量的官方选民管理记录形式的个体层面观测数据,来询问与大流行相关的风险因素,特别是选民年龄和党派关系如何影响选民的决策。为了确定因果因素,我们使用了差异中的差异设计和风险模型,将 2020 年大选和初选的选民行为与 2018 年和 2016 年进行了比较。我们发现,年龄和党派是 2020 年投票模式决策的重要因素,但在 2016 年或 2018 年并非如此。我们考虑了我们的发现对健康风险和党派关系如何相互作用影响决策的影响。