Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/231518
Authors: 
Camehl, Annika
Rieth, Malte
Year of Publication: 
2021
Series/Report no.: 
IWH Discussion Papers No. 2/2021
Abstract: 
We study the dynamic impact of Covid-19, economic mobility, and containment policy shocks. We use Bayesian panel structural vector autoregressions with daily data for 44 countries, identified through sign and zero restrictions. Incidence and mobility shocks raise cases and deaths significantly for two months. Restrictive policy shocks lower mobility immediately, cases after one week, and deaths after three weeks. Non-pharmaceutical interventions explain half of the variation in mobility, cases, and deaths worldwide. These flattened the pandemic curve, while deepening the global mobility recession. The policy tradeoff is 1 p.p. less mobility per day for 9% fewer deaths after two months.
Subjects: 
Bayesian analysis
coronavirus
epidemics
general equilibrium
non-pharmaceutical interventions
panel data
structural vector autoregressions
JEL: 
C32
E32
I18
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.