Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/287973 
Year of Publication: 
2022
Citation: 
[Journal:] Economics & Politics [ISSN:] 1468-0343 [Volume:] 35 [Issue:] 2 [Publisher:] Wiley [Place:] Hoboken, NJ [Year:] 2022 [Pages:] 556-594
Publisher: 
Wiley, Hoboken, NJ
Abstract: 
In this paper, we study the impact of the coronavirus disease 2019 pandemic in estimated panel vector autoregression models for 92 countries. The large cross‐section of countries allows us to shed light on the heterogeneity of the responses of stock markets and nitrogen dioxide emissions as high‐frequency measures of economic activity. We quantify the effect of the number of infections and four dimensions of policy measures: (1) containment and closure, (2) movement restrictions, (3) economic support, and (4) adjustments of health systems. Our main findings show that a surprise increase in the number of infections triggers a drop in our two measures of economic activity. Propping up economic support measures, in contrast, raises stock returns and emissions and, thus, contributes to the economic recovery. We also document vast differences in the responses across subsets of countries and between the first and the second wave of infections.
Subjects: 
COVID‐19
lockdown measures
panel VAR
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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