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 provides an overview, using extensive documentary material, of developments in U.K. macroeconomic policy in the last half-century. Rather than focusing on well-known recent changes in policy arrangements (such as the introduction of inflation targeting in 1992 or central bank...