| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP5331 |
| DP5331 Crime and Conformism | |
| Yves Zenou; Eleonora Patacchini | |
| 发表日期 | 2005-10-31 |
| 出版年 | 2005 |
| 语种 | 英语 |
| 摘要 | This paper describes a method for calculating daily real-time estimates of the current state of the US economy. The estimates are computed from data on scheduled US macroeconomic announcements using an econometric model that allows for variable reporting lags, temporal aggregation, and other complications in the data. The model can be applied to find real-time estimates of GDP, inflation, unemployment or any other macroeconomic variable of interest. In this paper I focus on the problem of estimating the current level of and growth rate in GDP. I construct daily real-time estimates of GDP that incorporate public information known on the day in question. The real-time estimates produced by the model are uniquely suited to studying how perceived developments the macro economy are linked to asset prices over a wide range of frequencies. The estimates also provide, for the first time, daily time series that can be used in practical policy decisions. |
| 主题 | International Macroeconomics |
| 关键词 | Real-time data Kalman filtering Forecasting gdp |
| URL | https://cepr.org/publications/dp5331 |
| 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/534193 |
| 推荐引用方式 GB/T 7714 | Yves Zenou,Eleonora Patacchini. DP5331 Crime and Conformism. 2005. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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