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Bayesian fan charts for UK inflation: Forecasting and sources of uncertainty in an evolving monetary system

Timothy Cogley (), Sergei Morozov and Thomas Sargent ()

No 2003/44, CFS Working Paper Series from Center for Financial Studies (CFS)

Abstract: We estimate a Bayesian vector autoregression for the U.K. with drifting coefficients and stochastic volatilities. We use it to characterize posterior densities for several objects that are useful for designing and evaluating monetary policy, including local approximations to the mean, persistence, and volatility of inflation. We present diverse sources of uncertainty that impinge on the posterior predictive density for inflation, including model uncertainty, policy drift, structural shifts and other shocks. We use a recently developed minimum entropy method to bring outside information to bear on inflation forecasts. We compare our predictive densities with the Bank of England's fan charts.

Date: 2003
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Journal Article: Bayesian fan charts for U.K. inflation: Forecasting and sources of uncertainty in an evolving monetary system (2005) Downloads
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