论文标题
Covid-19期间流动性流行病的经济隔离的证据
Evidence of economic segregation from mobility lockdown during COVID-19 epidemic
论文作者
论文摘要
为了应对199日大流行，国家政府已应用锁定限制以降低感染率。我们对Facebook提供的近实时意大利数据进行了大规模分析，以调查锁定策略如何影响个人和地方政府的经济状况。我们将移动性的变化建模为类似于自然灾害的外源性冲击。我们确定流动性限制影响意大利公民的两种方式。首先，我们发现锁定的影响在财政能力较高的市政当局中更强。其次，我们发现隔离效应，因为在不平等现象较高且个人人均收入较低的市政当局中的流动性限制更强。
In response to the COVID-19 pandemic, National governments have applied lockdown restrictions to reduce the infection rate. We perform a massive analysis on near real-time Italian data provided by Facebook to investigate how lockdown strategies affect economic conditions of individuals and local governments. We model the change in mobility as an exogenous shock similar to a natural disaster. We identify two ways through which mobility restrictions affect Italian citizens. First, we find that the impact of lockdown is stronger in municipalities with higher fiscal capacity. Second, we find a segregation effect, since mobility restrictions are stronger in municipalities for which inequality is higher and where individuals have lower income per capita.
