Ambiguous Business Cycles
成果类型:
Article
署名作者:
Ilut, Cosmin L.; Schneider, Martin
署名单位:
Duke University; Stanford University; National Bureau of Economic Research
刊物名称:
AMERICAN ECONOMIC REVIEW
ISSN/ISSBN:
0002-8282
DOI:
10.1257/aer.104.8.2368
发表日期:
2014
页码:
2368-2399
关键词:
news
models
RISK
fluctuations
INFORMATION
volatility
utility
prices
POLICY
摘要:
This paper studies a New Keynesian business cycle model with agents who are averse to ambiguity (Knightian uncertainty). Shocks to confidence about future TFP are modeled as changes in ambiguity. To assess the size of those shocks, our estimation uses not only data on standard macro variables, but also incorporates the dispersion of survey forecasts about growth as a measure of confidence. Our main result is that TFP and confidence shocks together can explain roughly two thirds of business cycle frequency movements in the major macro aggregates. Confidence shocks account for about 70 percent of this variation.