COVID-19 outbreak, social response, and early economic effects: a global VAR analysis of cross-country interdependencies

This paper studies the social and economic responses to the COVID-19 pandemic in a large sample of countries. I stress, in particular, the importance of countries' interconnections to understand the spread of the virus. I estimate a global VAR model and exploit a dataset on existing social connections across country borders. I show that social networks help explain not only the spread of the disease but also cross-country spillovers in perceptions about coronavirus risk and in social distancing behavior. In the early phases of the pandemic, perceptions of coronavirus risk in most countries are affected by pandemic shocks originating in Italy. Later, the USA, Spain, and the UK play sizable roles. Social distancing responses to domestic and global health shocks are heterogeneous; however, they almost always exhibit delays and sluggish adjustments. Unemployment responses vary widely across countries. Unemployment is particularly responsive to health shocks in the USA and Spain, while unemployment fluctuFations are attenuated almost everywhere else.

Automated summary

This study explores the social and economic responses to the COVID-19 pandemic in multiple countries, emphasizing the significance of interconnections between countries in understanding the virus spread. Through a global VAR model and dataset on cross-country social connections, it is shown that social networks play a role in both disease transmission and cross-country influences on coronavirus risk perceptions and social distancing behaviors.