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2019冠状病毒病大流行与2020年美国总统选举。

The COVID-19 pandemic and the 2020 US presidential election.

作者信息

Baccini Leonardo, Brodeur Abel, Weymouth Stephen

机构信息

McGill University, Montreal, Canada.

CIREQ, Montreal, Canada.

出版信息

J Popul Econ. 2021;34(2):739-767. doi: 10.1007/s00148-020-00820-3. Epub 2021 Jan 15.

DOI:10.1007/s00148-020-00820-3
PMID:33469244
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7809554/
Abstract

What is the effect of the COVID-19 pandemic on the 2020 US presidential election? Guided by a pre-analysis plan, we estimate the effect of COVID-19 cases and deaths on the change in county-level voting for Donald Trump between 2016 and 2020. To account for potential confounders, we include a large number of COVID-19-related controls as well as demographic and socioeconomic variables. Moreover, we instrument the numbers of cases and deaths with the share of workers employed in meat-processing factories to sharpen our identification strategy. We find that COVID-19 cases negatively affected Trump's vote share. The estimated effect appears strongest in urban counties, in states without stay-at-home orders, in swing states, and in states that Trump won in 2016. A simple counterfactual analysis suggests that Trump would likely have won re-election if COVID-19 cases had been 5 percent lower. We also find some evidence that COVID-19 incidence had a positive effect on voters' mobilization, helping Biden win the presidency.

摘要

新冠疫情对2020年美国总统大选有何影响?在一项预分析计划的指导下,我们估算了新冠病例和死亡人数对2016年至2020年县级选区中唐纳德·特朗普选票变化的影响。为了考虑潜在的混杂因素,我们纳入了大量与新冠相关的控制变量以及人口和社会经济变量。此外,我们用肉类加工厂就业工人的比例作为病例数和死亡数的工具变量,以强化我们的识别策略。我们发现,新冠病例对特朗普的选票份额有负面影响。估计效应在城市县、没有居家令的州、摇摆州以及特朗普在2016年获胜的州最为明显。一项简单的反事实分析表明,如果新冠病例数降低5%,特朗普可能会赢得连任。我们还发现一些证据表明,新冠疫情发生率对选民动员有积极影响,助力拜登赢得总统大选。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2c0/7809554/9cc5072c9e8d/148_2020_820_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2c0/7809554/9170c27caf79/148_2020_820_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2c0/7809554/3270aaa4e6eb/148_2020_820_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2c0/7809554/2dc340f0f821/148_2020_820_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2c0/7809554/9cc5072c9e8d/148_2020_820_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2c0/7809554/9170c27caf79/148_2020_820_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2c0/7809554/3270aaa4e6eb/148_2020_820_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2c0/7809554/2dc340f0f821/148_2020_820_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2c0/7809554/9cc5072c9e8d/148_2020_820_Fig4_HTML.jpg

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A counterfactual economic analysis of Covid-19 using a threshold augmented multi-country model.使用阈值增强型多国模型对新冠疫情进行的反事实经济分析。
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