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...

This paper presents and evaluates the hypothesis that emerging countries specialized in commodity production are prone to experience non orthogonal commercial and financial shocks. Specifically, we investigate a set of global macroeconomic variables that, in principle, could simultaneously...

Using a new methodology that allows for nonlinearities, we find frequent support for sustainability in the debt of a set of Latin American countries. Our findings overturn results obtained with traditional unit-root tests and provide a more realistic alternative to evaluate the external solvency...

This paper presents and evaluates the hypothesis that emerging countries specialized in commodity production are prone to experience non orthogonal commercial and financial shocks. Specifically, we investigate a set of global macroeconomic variables that, in principle, could simultaneously...