In this paper we introduce the general setting of a multivariate time series autoregressive model with stochastic time-varying coefficients and time-varying conditional variance of the error process. This allows modeling VAR dynamics for non-stationary times series and estimation of time varying...

Following Giraitis, Kapetanios, and Yates (2014b), this paper uses kernel methods to estimate a seven variable time-varying (TV) vector autoregressive (VAR) model on the data set constructed by Smets and Wouters (2007). We apply an indirect inference method to map from this TV VAR to time...

In this paper we aim to trace the roots of the ongoing economic mayhem and to unmask the chorus of the tragedy which plays on the world stage. The main thesis of our work is that, despite the triumphant rhetoric praising the merits of perfect competition, the global fields of the dysfunctional...

This paper dwells on the Eurozone woes and addresses the origins of the transition from a fictitious boom to a painful bust by unravelling (i) the supply-side structural imbalances that formed the core-periphery economic divide, and (ii) the necessity of the periphery's sovereign debt to finance...