G2TT
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 Testing the predictive accuracy of COVID-19 forecasts | CEPR
URLhttps://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.
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