| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP14791 |
| DP14791 Tractable Epidemiological Models for Economic Analysis | |
| Dirk Niepelt; Martín Gonzalez-Eiras | |
| 发表日期 | 2020-05-21 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | We contrast the canonical epidemiological SIR model due to Kermack and McKendrick (1927) with more tractable alternatives that offer similar degrees of "realism" and flexibility. We provide results connecting the different models which can be exploited for calibration purposes. We use the expected spread of COVID-19 in the United States to exemplify our results. |
| 主题 | International Macroeconomics and Finance ; Macroeconomics and Growth ; Public Economics |
| 关键词 | Epidemiology Sir model Logistic model Covid-19 |
| URL | https://cepr.org/publications/dp14791 |
| 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/543721 |
| 推荐引用方式 GB/T 7714 | Dirk Niepelt,Martín Gonzalez-Eiras. DP14791 Tractable Epidemiological Models for Economic Analysis. 2020. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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