Recent interest in ‘Risk Management’ has highlighted the relevance of Bayesian analysis for robust monetary- policy making. This paper sets out a comprehensive methodology for designing policy rules inspired by such considerations. We design rules that are robust with respect to model...

The past forty years or so has seen a remarkable transformation in macro-models used by central banks, policymakers and forecasting bodies. This papers describes this transformation from reduced-form behavioural equations estimated separately, through to contemporary micro-founded dynamic...

Purpose – The purpose of this paper is to describe the transformation of macro-modelling from reduced form behavioural equations estimated separately, through to contemporary microfounded dynamic stochastic general equilibrium (DSGE) models estimated by systems methods. It is argued that...

The past forty years or so has seen a remarkable transformation in macro-models used by central banks, policymakers and forecasting bodies.This papers describes this trans formation from reduced-form behavioural equations estimated separately, through to contemporary micro-founded dynamic...

This paper empirically assesses the performance of interest-rate monetary rules for interdependent economies characterized by model uncertainty. We set out a two-bloc dynamic stochastic general equilibrium model with habit persistence (that generates output persistence), Calvo pricing and...