2020
DOI: 10.1080/25741292.2020.1825156
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Factors motivating the timing of COVID-19 shelter in place orders by U.S. governors

Abstract: This article is an effort to isolate and estimate the impact of political party control of state government on the length of time it took U.S. states to issue shelter-in-place orders (SIPOs) in an effort to control the spread of COVID-19. We adopt a two-step process to isolate the effect of politics. First, we measure the number of days between the date that state-level cases first exceeded one case per 100,000 population and state issuance of a SIPO. This permits us to compare governor's choices in similar co… Show more

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Cited by 6 publications
(9 citation statements)
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“…Finally, we found State Sociopolitical Features ( β = .33) were positively correlated with State Revenue Changes, meaning state features that predict Republican leadership and below bachelor’s education were associated with smaller declines in tax revenue. This outcome makes sense, as states with Republican governors were generally less likely than Democratic governors to employ COVID-19 mitigation tactics which may lead to more severe state revenue declines, such as restricting mobility (Akovali & Yilmaz, 2020 ) or enforcing lockdowns (Corder et al, 2020 ; Tellis et al, 2020 ). Similar to State Sociopolitical Features, County Political Preferences ( β = .12) were positively correlated with State Revenue Changes, though the magnitude of the coefficient is nearly 3 times smaller.…”
Section: Findings and Discussionmentioning
confidence: 99%
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“…Finally, we found State Sociopolitical Features ( β = .33) were positively correlated with State Revenue Changes, meaning state features that predict Republican leadership and below bachelor’s education were associated with smaller declines in tax revenue. This outcome makes sense, as states with Republican governors were generally less likely than Democratic governors to employ COVID-19 mitigation tactics which may lead to more severe state revenue declines, such as restricting mobility (Akovali & Yilmaz, 2020 ) or enforcing lockdowns (Corder et al, 2020 ; Tellis et al, 2020 ). Similar to State Sociopolitical Features, County Political Preferences ( β = .12) were positively correlated with State Revenue Changes, though the magnitude of the coefficient is nearly 3 times smaller.…”
Section: Findings and Discussionmentioning
confidence: 99%
“…That is, institutions may exhibit behaviors more aligned with the “in-group” to maintain benefits and avoid negative sentiments associated with being part of the “out-group” (see Billig & Tajfel, 1973 for more about “in” and “out” group dynamics) rather than behaving based on their own (non-sociopolitical) policy preferences. Institutions are potentially weighing the short- and long-term risks of opposing current power structures or are already partisan themselves and want to avoid the scrutiny of being part of the “out-group.” Given that the Democratic and Republican parties hold partisan preferences around both the state of higher education in the United States (Parker, 2019 ) and policy responses to COVID-19 (Corder et al, 2020 ; Holman et al, 2020 ), we might expect differential responses to COVID-19 based on the political characteristics of an institution’s locale (see Collier et al, 2020b ; Felson & Adamczyk, 2021 ).…”
Section: Review Of the Literaturementioning
confidence: 99%
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“…However, given the politicization of the pandemic, compliance has become a political statement rather than a necessary response to a deadly virus. This has been seen in the use of masks (Lyu and Wehby 2020), the adoption of stay-at-home orders (Corder et al 2020), and even the speed with which states responded to the pandemic (Fowler et al 2020b). Despite the politicization of these policies, compliance is a necessary condition for the orders to work, which means that enforcement mechanisms may be adopted to alter the costs associated with noncompliance.…”
Section: Executive Order Contextmentioning
confidence: 99%