社会流动性和严格措施对 COVID-19 结果的影响：来自美国的证据。
Effects of Social Mobility and Stringency Measures on the COVID-19 Outcomes: Evidence From the United States.
机构信息
School of Management, Nanjing University of Posts and Telecommunications, Nanjing, China.
School of Management, Qingdao City University, Qingdao, China.
出版信息
Front Public Health. 2021 Nov 4;9:779501. doi: 10.3389/fpubh.2021.779501. eCollection 2021.
Abstract
This paper examines the effects of stringency measures (provided by the Oxford Coronavirus Government Response Tracker) and total time spent away from home (provided by the Google COVID-19 Community Mobility Reports) on the COVID-19 outcomes (measured by total COVID-19 cases and total deaths related to the COVID-19) in the United States. The paper focuses on the daily data from March 11, 2020 to August 13, 2021. The ordinary least squares and the machine learning estimators show that stringency measures are negatively related to the COVID-19 outcomes. A higher time spent away from home is positively associated with the COVID-19 outcomes. The paper also discusses the potential economic implications for the United States.
摘要
本文考察了严格措施（由牛津冠状病毒政府反应追踪器提供）和总离家时间（由谷歌 COVID-19 社区流动性报告提供）对美国 COVID-19 结果（由总 COVID-19 病例和与 COVID-19 相关的总死亡人数衡量）的影响。本文重点关注 2020 年 3 月 11 日至 2021 年 8 月 13 日的每日数据。普通最小二乘法和机器学习估计器表明，严格措施与 COVID-19 结果呈负相关。离家时间越长，与 COVID-19 结果呈正相关。本文还讨论了对美国的潜在经济影响。
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