Keane Michael, Neal Timothy
University of New South Wales & CEPAR, Sydney, NSW 2000, Australia.
J Econom. 2021 Jan;220(1):86-105. doi: 10.1016/j.jeconom.2020.07.045. Epub 2020 Aug 25.
We develop an econometric model of consumer panic (or panic buying) during the COVID-19 pandemic. Using Google search data on relevant keywords, we construct a daily index of consumer panic for 54 countries from January 1st to April 30th 2020. We also assemble data on government policy announcements and daily COVID-19 cases for all countries. Our panic index reveals widespread consumer panic in most countries, primarily during March, but with significant variation in the timing and severity of panic between countries. Our model implies that both domestic and world virus transmission contribute significantly to consumer panic. But government policy is also important: Internal movement restrictions - whether announced by domestic or foreign governments - generate substantial short run panic that largely vanishes in a week to ten days. Internal movement restrictions announced early in the pandemic generated more panic than those announced later. Stimulus announcements had smaller impacts, and travel restrictions do not appear to generate consumer panic.
我们构建了一个关于新冠疫情期间消费者恐慌(或抢购)的计量经济学模型。利用谷歌上有关关键词的搜索数据,我们构建了2020年1月1日至4月30日期间54个国家的消费者恐慌日指数。我们还收集了所有国家政府政策公告和每日新冠病例的数据。我们的恐慌指数显示,大多数国家都出现了广泛的消费者恐慌,主要集中在3月,但各国恐慌的时间和严重程度存在显著差异。我们的模型表明,国内和全球的病毒传播都对消费者恐慌有显著影响。但政府政策也很重要:内部流动限制——无论是国内还是国外政府宣布的——都会引发大量短期恐慌,而这种恐慌在一周到十天内基本消失。疫情早期宣布的内部流动限制比后期宣布的引发了更多恐慌。刺激措施公告的影响较小,旅行限制似乎不会引发消费者恐慌。