| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w27741 |
| 来源ID | Working Paper 27741 |
| Pandemic Control in ECON-EPI Networks | |
| Marina Azzimonti; Alessandra Fogli; Fabrizio Perri; Mark Ponder | |
| 发表日期 | 2020-08-31 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | We develop an ECON-EPI network model to evaluate policies designed to improve health and economic outcomes during a pandemic. Relative to the standard epidemiological SIR set-up, we explicitly model social contacts among individuals and allow for heterogeneity in their number and stability. In addition, we embed the network in a structural economic model describing how contacts generate economic activity. We calibrate it to the New York metro area during the 2020 COVID-19 crisis and show three main results. First, the ECON-EPI network implies patterns of infections that better match the data compared to the standard SIR. The switching during the early phase of the pandemic from unstable to stable contacts is crucial for this result. Second, the model suggests the design of smart policies that reduce infections and at the same time boost economic activity. Third, the model shows that reopening sectors characterized by numerous and unstable contacts (such as large events or schools) too early leads to fast growth of infections. |
| 主题 | Microeconomics ; Economics of Information ; Macroeconomics ; Consumption and Investment ; Fiscal Policy ; Health, Education, and Welfare ; Health ; COVID-19 |
| URL | https://www.nber.org/papers/w27741 |
| 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/585413 |
| 推荐引用方式 GB/T 7714 | Marina Azzimonti,Alessandra Fogli,Fabrizio Perri,et al. Pandemic Control in ECON-EPI Networks. 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 | ||
| w27741.pdf（614KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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