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Optimal Lockdown in a Commuting Network

delete2021-12-01
delete26
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OA
AI
P
Pablo Fajgelbaum *
A
Amit Khandelwal
W
Wookun Kim
C
Cristiano Mantovani
E
Edouard Schaal
DOI:10.1257/aeri.20200401delete
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摘要

摘要

En 中文
We study optimal dynamic lockdowns against COVID-19 within a commuting network. Our framework integrates canonical spatial epidemiology and trade models and is applied to cities with varying initial viral spread: Seoul, Daegu, and the New York City metropolitan area (NYM). Spatial lockdowns achieve substantially smaller income losses than uniform lockdowns. In the NYM and Daegu with large initial shocks-the optimal lockdown restricts inflows to central districts before gradual relaxation, while in Seoul it imposes low temporal but large spatial variation. Actual commuting reductions were too weak in central locations in Daegu and the NYM and too strong across Seoul.
Keyword:
DISEASE
COVID-19
SPREAD

期刊

American Economic Review 封面图
American Economic Review
IF:
11.6
论文数:
5.0K
被引数:
7.5W

机构

Barcelona School of Economics 封面图
Barcelona School of Economics
学者数:
126
论文数: 128
被引数: 1.1K
P
Princeton University
学者数:
2.1W
论文数: 2.3W
被引数: 5.1W
I
ICREA
学者数:
3.0K
论文数: 3.0K
被引数: 104
N
National Bureau of Economic Research
学者数:
2.0K
论文数: 2.4K
被引数: 1.1W
P
Pompeu Fabra University
学者数:
9.3K
论文数: 6.8K
被引数: 11
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