Surprise and uncertainty indexes: Real-time aggregation of real-activity macro-surprises

成果类型:
Article
署名作者:
Scotti, Chiara
署名单位:
Federal Reserve System - USA; Federal Reserve System Board of Governors
刊物名称:
JOURNAL OF MONETARY ECONOMICS
ISSN/ISSBN:
0304-3932
DOI:
10.1016/j.jmoneco.2016.06.002
发表日期:
2016
页码:
1-19
关键词:
Business cycle Dynamic factor model state space model Forecasting weights
摘要:
Two daily, real-time, real-activity indexes are constructed for the United States, euro area, United Kingdom, Canada, and Japan: (i) a surprise index summarizing recent economic data surprises and measuring optimism/pessimism about the state of the economy, and (ii) an uncertainty index measuring uncertainty related to the state of the economy. The surprise index parsimoniously preserves the properties of the underlying series when affecting asset prices. For the United States, the real-activity uncertainty index is compared to other uncertainty proxies to show that, when uncertainty is strictly related to real activity only, it has a potentially milder effect on economic activity. Published by Elsevier B.V.
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