| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w27441 |
| 来源ID | Working Paper 27441 |
| Optimal Lockdown in a Commuting Network | |
| Pablo Fajgelbaum; Amit Khandelwal; Wookun Kim; Cristiano Mantovani; Edouard Schaal | |
| 发表日期 | 2020-06-29 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | 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. |
| 主题 | Microeconomics ; Mathematical Tools ; Regional and Urban Economics ; Real Estate ; COVID-19 |
| URL | https://www.nber.org/papers/w27441 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/585114 |
| 推荐引用方式 GB/T 7714 | Pablo Fajgelbaum,Amit Khandelwal,Wookun Kim,et al. Optimal Lockdown in a Commuting Network. 2020. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w27441.pdf（1721KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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