We use a factor model with stochastic volatility to decompose the time-varying variance of Macro economic and Financial variables into contributions from country-specific uncertainty and uncertainty common to all countries. We find that the common component plays an important role in driving the...

We develop a N-sector business cycle network model a la Long and Plosser (1983), featuring heterogenous money demand a la Bewley (1980) and Lucas (1980). Despite incomplete markets and a well-defined distribution of real money balances across heterogeneous households, the enriched N-sector...

This paper uses a FAVAR model with stochastic volatility to estimate the impact of uncertainty shocks on real income growth in US states. The results suggest that there is a large degree of heterogeneity in the magnitude and the persistence of the response to uncertainty shocks across states....