This paper integrates panel VARs and the index models into a unique framework where cross unit interdependencies and time variations in the coefficients are allowed for. The setup used is Bayesian and MCMC methods are used to estimate the posterior distribution of the features of interest and to...

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...