G2TT
来源类型Discussion paper
规范类型论文
来源IDDP15464
DP15464 Unmasking Partisanship: Polarization Undermines Public Response to Collective Risk
Maria Milosh; Marcus Painter; Konstantin Sonin; David Van Dijcke; Austin L. Wright
发表日期2020-11-17
出版年2020
语种英语
摘要Political polarization may undermine public policy response to collective risk, especially in periods of crisis, when political actors have incentives to manipulate public perceptions. We study these dynamics in the United States, focusing on how partisanship has influenced the use of face masks to stem the spread of COVID-19. Using a wealth of micro-level data, machine learning approaches, and a novel quasi-experimental design, we establish the following: (1) mask use is robustly correlated with partisanship; (2) the impact of partisanship on mask use is not offset by local policy interventions; (3) partisanship is the single most important predictor of local mask use, not COVID-19 severity or local policies; (4) president Trump's unexpected mask use at Walter Reed on July 11, 2020 and endorsement of masks on July 20, 2020 significantly increased social media engagement with and positive sentiment towards mask-related topics. These results unmask how partisanship undermines effective public responses to collective risk and how messaging by political agents can increase public engagement with policy measures.
主题Public Economics
关键词Partisanship Polarization Covid-19
URLhttps://cepr.org/publications/dp15464
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/544461
推荐引用方式
GB/T 7714
Maria Milosh,Marcus Painter,Konstantin Sonin,et al. DP15464 Unmasking Partisanship: Polarization Undermines Public Response to Collective Risk. 2020.
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