Abstract
This article introduces the use of the sign restrictions methodology to identify uncertainty shocks. We apply our methodology to a class of vector autoregression models with stochastic volatility that allow volatility fluctuations to impact the conditional mean. We combine sign restrictions on the conditional mean and conditional second moment impulse responses to identify financial and macro uncertainty shocks. On U.S. data, we find stronger evidence that financial uncertainty shocks lead to a decline in real activity and an easing of the federal funds rate relative to macro uncertainty shocks. Supplementary materials for this article are available online.
Original language | English (US) |
---|---|
Pages (from-to) | 367-379 |
Number of pages | 13 |
Journal | Journal of Business and Economic Statistics |
Volume | 38 |
Issue number | 2 |
Early online date | 2018 |
DOIs | |
State | Published - Apr 2 2020 |
Keywords
- Multivariate stochastic volatility
- Sign restrictions
- Uncertainty
- Vector autoregression
- Volatility-in-mean
- Wishart process
ASJC Scopus subject areas
- Statistics and Probability
- Social Sciences (miscellaneous)
- Economics and Econometrics
- Statistics, Probability and Uncertainty