shock has remained fairly stable. Simulations from a non-linear DSGE model suggest that these empirical results are …

area economic activity, with one standard deviation increase in the identified uncertainty shock subtracting around 0 …

We use a factor model with stochastic volatility to decompose the time-varying variance of Macro economic and Financial … component plays an important role in driving the time-varying volatility of nominal and financial variables. The cross …-country co-movement in volatility of real and financial variables has increased over time with the common component becoming more …

This paper uses a FAVAR model with stochastic volatility to estimate the impact of uncertainty shocks on real income …

response to uncertainty shocks, firms increase their markups, in line with the theory of self-insurance against being stuck …

allow for low-frequency variation in the volatility of the shocks, and 2) the estimated degrees of freedom are quite low for … exclude the Great Recession from the sample. We also show that inference about low-frequency changes in volatility - and, in …

In this paper we estimate a Bayesian vector autoregressive model with factor stochastic volatility in the error term to … assess the effects of an uncertainty shock in the Euro area. This allows us to treat macroeconomic uncertainty as a latent … consequences jointly, and most are based on single country models. We analyze the special case of a shock restricted to the Euro …