Behavioral and Policy Responses to COVID-19: Evidence from Google Mobility Data on State-Level Stay-at-Home Orders

William J. Luther
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引用次数: 13

Abstract

In early 2020, many states issued stay-at-home orders to slow the spread of COVID-19. I analyze Google Mobility data to consider the extent to which state-level stay-at-home orders induced people to stay at home. I find that much of the change in residential, retail and recreational, park, workplace, transit station, and, to a lesser extent, grocery and pharmacy activity preceded state-level stay-at- home orders.
应对COVID-19的行为和政策:来自谷歌国家级居家令流动性数据的证据
2020年初,许多州发布了居家令,以减缓COVID-19的传播。我分析谷歌流动性数据,以考虑州级居家令在多大程度上促使人们呆在家里。我发现,住宅、零售和娱乐、公园、工作场所、中转站以及(在较小程度上)杂货店和药房活动的大部分变化都先于国家级的“居家令”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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