Loiacono Luisa, Puglisi Riccardo, Rizzo Leonzio, Secomandi Riccardo
University of Ferrara, Italy.
University of Pavia, Italy.
J Comp Econ. 2022 Sep;50(3):768-783. doi: 10.1016/j.jce.2022.02.004. Epub 2022 Feb 23.
The spread of COVID-19 led countries around the world to adopt lockdown measures of varying stringency, with the purpose of restricting the movement of people. However, the effectiveness of these measures on mobility has been markedly different. Employing a difference-in-differences design, we analyse the effectiveness of movement restrictions across different countries. We disentangle the role of regulation (stringency measures) from the role of people's knowledge about the spread of COVID-19. We proxy COVID-19 knowledge by using Google Trends data on the term "Covid". We find that lockdown measures have a higher impact on mobility the more people learn about COVID-19. This finding is driven by countries with low levels of trust in institutions and low levels of education.
新冠疫情的蔓延促使世界各国采取了不同严格程度的封锁措施,目的是限制人员流动。然而,这些措施对流动性的有效性却显著不同。我们采用双重差分设计,分析了不同国家的流动限制措施的有效性。我们将监管(严格措施)的作用与人们对新冠疫情传播的了解的作用区分开来。我们通过使用谷歌趋势上关于“Covid”一词的数据来衡量人们对新冠疫情的了解程度。我们发现,人们对新冠疫情了解得越多,封锁措施对流动性的影响就越大。这一发现是由对机构信任度低和教育水平低的国家推动的。