Data and Code for Optimal Lockdown in a Commuting Network
收藏ICPSR2021-01-01 更新2026-04-16 收录
下载链接：
https://www.openicpsr.org/openicpsr/project/127341/version/V1/view
下载链接
链接失效反馈官方服务：
资源简介：
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 NYC-Metro. Spatial lockdowns achieve substantially smaller income losses than uniform lockdowns. 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 reductions were too weak in central locations in Daegu and NYM, and too strong across Seoul<br>.
提供机构：
Columbia GSB; Princeton; CREI; Universitat Pompeu Fabra; Southern Methodist University
创建时间：
2021-01-01
