The geography of pandemic containment

Saved in:

Authors and Corporations:

Giannone, Elisa (Author), Paixão, Nuno (Author), Pang, Xinle (Author)

Other Authors:

Paixão, Nuno [Author] • Pang, Xinle [Author]

Edition:

Last updated: June 10, 2021

Type of Resource:

E-Book

Language:

English

published:

[Ottawa] Bank of Canada [2021]

Series:

Subjects:

Coronavirus

Epidemie

Infektionskrankheit

Morbidität

Räumliche Interaktion

USA

Coronavirus disease (COVID-19)

Economic models

Regional economic developments

Graue Literatur

Arbeitspapier

Source:

Verbunddaten SWB
Lizenzfreie Online-Ressourcen

Description
Summary:	How does interconnectedness affect the course of a pandemic? What are the optimal withinand between-state containment policies? We embed a spatial SIR model into a multi-sector quantitative trade model. We calibrate it to US states and the COVID-19 pandemic and find that interconnectedness increases the death toll by 146,200 lives. A local within-state containment policy minimizes welfare losses relative to a national policy or to one that reduces mobility between states. The optimal policy combines local within- and betweenstate restrictions and saves 289,300 lives. This optimal policy induces a peak reduction in mobility of 25.97% that saves approximately 23% more lives. Different timing of policies across states is key to minimizing losses. States like South Carolina might have imposed internal lockdowns too early but travel restrictions too late.
Physical Description:	1 Online-Ressource (circa 44 Seiten); Illustrationen