| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w27063 |
| 来源ID | Working Paper 27063 |
| Sequential Lifting of COVID-19 Interventions with Population Heterogeneity | |
| Adriano A. Rampini | |
| 发表日期 | 2020-04-27 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | This paper analyzes a sequential approach to lifting interventions in the COVID-19 pandemic taking heterogeneity in the population into account. The population is heterogeneous in terms of the consequences of infection (need for hospitalization and critical care, and mortality) and in terms of labor force participation. Splitting the population in two groups by age, a less affected younger group that is more likely to work, and a more affected older group less likely to work, and lifting interventions sequentially (for the younger group first and the older group later on) can substantially reduce mortality, demands on the health care system, and the economic cost of interventions. |
| 主题 | Macroeconomics ; Business Cycles ; Money and Interest Rates ; Fiscal Policy ; Public Economics ; Health, Education, and Welfare ; Health ; COVID-19 |
| URL | https://www.nber.org/papers/w27063 |
| 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/584735 |
| 推荐引用方式 GB/T 7714 | Adriano A. Rampini. Sequential Lifting of COVID-19 Interventions with Population Heterogeneity. 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 | ||
| w27063.pdf（394KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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