Covid-19 Policy Convergence in Response to Knightian Uncertainty

被引:5
|
作者
Sayers, Anthony M. [1 ]
Scholtz, Christa [2 ]
Armstrong, Dave [3 ]
Kam, Christopher [4 ]
Alcantara, Christopher [3 ]
机构
[1] Univ Calgary, Dept Polit Sci, Calgary, AB, Canada
[2] McGill Univ, Dept Polit Sci, Montreal, PQ, Canada
[3] Western Univ, Dept Polit Sci, London, ON, Canada
[4] Univ British Columbia, Dept Polit Sci, Vancouver, BC, Canada
关键词
policy convergence; COVID-19; Knightian uncertainty; elite decision-making; RISK;
D O I
10.1177/14789299221109081
中图分类号
D0 [政治学、政治理论];
学科分类号
0302 ; 030201 ;
摘要
Domestic policy responses to COVID-19 were remarkably consistent during the early days of the pandemic. What explains this policy convergence? Our formal model suggests that the novel character of COVID-19 produced a period of maximum policy uncertainty, incentivizing political actors to converge on a common set of policies to minimize their exposure to electoral punishment. This convergence is likely to break down as policy feedback produces opinion divergence among experts and the public and as politicians recalculate the costs and benefits of various policy responses and under some conditions facing incentives to adopt extreme policies.
引用
收藏
页码:625 / 635
页数:11
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