| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP9360 |
| DP9360 Distilling the Macroeconomic News Flow | |
| Alessandro Beber; Michael Brandt; Maurizio Luisi | |
| 发表日期 | 2013-02-24 |
| 出版年 | 2013 |
| 语种 | 英语 |
| 摘要 | We propose a simple cross-sectional technique to extract daily latent factors from economic news releases available at different dates and frequencies. Our approach can effectively handle the large number of heterogeneous announcements that are relevant for tracking current economic conditions. We apply the technique to extract real-time measures of inflation, output, employment, and macroeconomic sentiment, as well as corresponding measures of disagreement among economists about these dimensions of the data. We find that our procedure provides more timely and accurate forecasts of the future evolution of the economy than other real-time forecasting approaches in the literature. |
| 主题 | Financial Economics |
| 关键词 | Disagreement. Macroeconomic news Nowcasting |
| URL | https://cepr.org/publications/dp9360 |
| 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/538196 |
| 推荐引用方式 GB/T 7714 | Alessandro Beber,Michael Brandt,Maurizio Luisi. DP9360 Distilling the Macroeconomic News Flow. 2013. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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