| 来源类型 | VoxEU Column |
| 规范类型 | 评论 |
| Testing the predictive accuracy of COVID-19 forecasts | |
| Laura Coroneo; Fabrizio Iacone; Alessia Paccagnini; Paulo Santos Monteiro | |
| 发表日期 | 2022-02-16 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | Forecasting the evolution of an epidemic is of utmost importance for policymakers and healthcare providers. This column examines the predictive accuracy of the COVID-19 death projections produced by several independent forecasting teams and collected by the US Centers for Disease Control and Prevention. The authors find that forecasters can be more successful over long horizons (three to four weeks) than a simple benchmark model. The ensemble forecast, which combines all forecasts, is one of the top performers. |
| 正文 |
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| URL | https://cepr.org/voxeu/columns/testing-predictive-accuracy-covid-19-forecasts-0 |
| 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/556587 |
| 推荐引用方式 GB/T 7714 | Laura Coroneo,Fabrizio Iacone,Alessia Paccagnini,et al. Testing the predictive accuracy of COVID-19 forecasts. 2022. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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