Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/263506 
Erscheinungsjahr: 
2022
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 15290
Verlag: 
Institute of Labor Economics (IZA), Bonn
Zusammenfassung: 
Travel restrictions are often imposed to limit the spread of infectious diseases. As uniform restrictions can be inefficient and incur unnecessarily high costs, this paper examines the optimal design of restrictions that target specific travel routes. We propose a model with trade-offs between costs of infections and costs of travel restrictions, where decisions are made with or without coordination between local jurisdictions and provide a computational feasible way to solve the optimization problem. We illustrate the model using the COVID-19 data in China. When travel restrictions target key routes, only around 5% of the possible routes need to be closed in order to have the same number of confirmed COVID-19 cases in the initial outbreaks. Uncoordinated travel restrictions ignore policy externalities and therefore are sub-optimal in comparison to coordinated restrictions.
Schlagwörter: 
transmission
public health
economic cost
coordination
externality
COVID-19
JEL: 
I18
R1
C21
C6
Dokumentart: 
Working Paper

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