We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a flexible model that accounts for both interdependencies in the cross section and time variations in the parameters. Posterior distributions for the parameters are obtained for...

This paper investigates the effects of introducing household production in an international real business cycle model. We show how a model driven by disturbances to the household production can account for some features of international cycles. A version of the model which considers shocks to...

This paper analyses the empirical interdependence of asset returns, real activity and inflation from a multicountry and international point of view. We find that nominal stock returns are significantly related to inflation only in the United States, that the US term structure of interest rates...

We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a flexible model which accounts for both interdependencies in the cross section and time variations in the parameters. Posterior distributions for the parameters are obtained for a...

We examine the dynamics of U.S. output and inflation using a structural time-varying coefficients vector autoregression. There are changes in the volatility of both variables and in the persistence of inflation, but variations are statistically insignificant. Technology shocks explain changes in...

This paper empirically investigates the nature of financial crises in the United States before 1914. It attempts to determine whether crises were statistically similar, predictable, and had a common generating mechanism. Using probit and hazard models and out-of-sample criteria, it is shown...

We investigate identifiability issues in DSGE models and their consequences for parameter estimation and model evaluation when the objective function measures the distance between estimated and model impulse responses. We show that observational equivalence, partial and weak identification...