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来源类型 | Discussion paper |
规范类型 | 论文 |
来源ID | DP12219 |
DP12219 Is Industrial Production Still the Dominant Factor for the US Economy? | |
Elena Andreou; Patrick Gagliardini; Eric Ghysels | |
发表日期 | 2017-08-12 |
出版年 | 2017 |
语种 | 英语 |
摘要 | We propose a new class of large approximate factor models which enable us to study the full spectrum of quarterly Industrial Production (IP) sector data combined with annual non-IP sectors of the economy. We derive the large sample properties of the estimators and test statistics for the new class of unobservable factor models involving mixed frequency data and common as well as frequency-specific factors. Despite the growth of service sectors, we find that a single common factor explaining 90% of the variability in IP output growth index also explains 60% of total GDP output growth fluctuations. A single low frequency factor unrelated to manufacturing explains 14% of GDP growth. The picture with a structural factor model featuring technological innovations is quite different. Last but not least, our identification and inference methodology rely on novel results on group factor models that are of general interest beyond the mixed frequency framework and the application of the paper. |
主题 | Financial Economics |
关键词 | Group factor models Midas Gdp growth |
URL | https://cepr.org/publications/dp12219 |
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/541030 |
推荐引用方式 GB/T 7714 | Elena Andreou,Patrick Gagliardini,Eric Ghysels. DP12219 Is Industrial Production Still the Dominant Factor for the US Economy?. 2017. |
条目包含的文件 | 条目无相关文件。 |
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