Learning from Friends in a Pandemic: Social Networks and the Macroeconomic Response of Consumption

C. Makridis, Tao Wang
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引用次数: 13

Abstract

This paper studies how shocks to the social network can have aggregate effects. First, using daily consumption data across counties over the COVID-19 pandemic and Facebook's Social Connectedness Index (SCI), we find that a 10% rise in SCI-weighted cases and deaths is associated with a 0.18% and 0.23% decline in consumption expenditures. These consumption effects are concentrated among consumer goods and services that rely more on social-contact, suggesting that individuals incorporate the experiences from their social network to inform their own consumption choices. Second, we calibrate a heterogenous-agent model with market incompleteness where agents form their perceptions about the local infection conditions subject to social influences. Our model shows how the aggregate consumption has further dropped due to the presence of social network amplification given the pandemic outbreaks first took place in well-connected regions. We also show how the size of aggregate responses depends on the location of the initial shocks and structure of the network.
向流行病中的朋友学习:社交网络和消费的宏观经济反应
本文研究社会网络的冲击如何产生聚合效应。首先,使用COVID-19大流行期间各国的日常消费数据和Facebook的社会联系指数(SCI),我们发现SCI加权病例和死亡人数每增加10%,消费支出就会下降0.18%和0.23%。这些消费效应集中在更依赖社会联系的消费品和服务上,这表明个人将其社会网络中的经验纳入自己的消费选择中。其次,我们校准了一个具有市场不完全性的异质代理模型,在该模型中,代理对受社会影响的本地感染条件形成了感知。我们的模型显示,鉴于大流行首先发生在联系良好的地区,由于社会网络放大的存在,总消费如何进一步下降。我们还展示了总体响应的大小如何取决于初始冲击的位置和网络的结构。
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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