We identify a 'risk news' shock in a vector autoregression (VAR), modifying Barsky and Sims's procedure, while incorporating sign restrictions to simultaneously identify monetary policy, technology and demand shocks. The VAR-identifed risk news shock is estimated to account for around 2%-12% of...

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 derives alternative measures of the short-run NAIRU (SRN) for the UK, the rate for unemployment at which inflation will neither increase nor decrease in the short-run. We estimate the NAIRU jointly with price equations by using the Kalman filter. Our work suggests that both structural...

In this paper we investigate the problem of selecting an optimal horizon for inflation targeting in the United Kingdom. Since there are two key ways of thinking about an optimal horizon, we look at optimal horizons for both of these interpretations. In addition, to see whether our results are...