G2TT
来源类型Discussion paper
规范类型论文
来源IDDP14923
DP14923 Optimal Lockdown in a Commuting Network
Pablo Fajgelbaum; Amit Khandelwal; Wookun Kim; Cristiano Mantovani; Edouard Schaal
发表日期2020-06-24
出版年2020
语种英语
摘要We study optimal dynamic lockdowns against Covid-19 within a commuting network. Our framework combines canonical spatial epidemiology and trade models, and is applied to cities with varying initial viral spread: Seoul, Daegu and NYC-Metro. Spatial lockdowns achieve substantially smaller income losses than uniform lockdowns, and are not easily approximated by simple centrality-based rules. In 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 responses were too weak in central locations in Daegu and NYM, and too strong across Seoul.
主题International Trade and Regional Economics ; Macroeconomics and Growth ; Public Economics
关键词Covid-19 Lockdown Commuting Optimal policy General equilibrium
URLhttps://cepr.org/publications/dp14923
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/543865
推荐引用方式
GB/T 7714
Pablo Fajgelbaum,Amit Khandelwal,Wookun Kim,et al. DP14923 Optimal Lockdown in a Commuting Network. 2020.
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