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Empirical and policy performance of a forward‐looking monetary model (replica...
In this paper we consider the implications of a fully specified dynamic general equilibrium model, developed by Smets and Wouters (2003). This is a relatively large-scale... -
The Lucas critique and the stability of empirical models (replication data)
This paper reconsiders the empirical relevance of the Lucas critique using a DSGE sticky price model in which a weak central bank response to inflation generates equilibrium... -
International evidence on the efficacy of new‐Keynesian models of inflation p...
We take an agnostic view of the Phillips curve debate, and carry out an empirical investigation of the relative and absolute efficacy of Calvo sticky price (SP), sticky... -
Monetary policy and uncertainty in an empirical small open‐economy model (rep...
This paper explores optimal policy design in an estimated model of three small open economies: Australia, Canada and New Zealand. Within a class of generalized Taylor rules, we... -
Limited information estimation and evaluation of DSGE models (replication data)
We advance the proposition that dynamic stochastic general equilibrium (DSGE) models should not only be estimated and evaluated with full information methods. These require that... -
Welfare‐maximizing monetary policy under parameter uncertainty (replication d...
This paper examines welfare-maximizing monetary policy in an estimated micro-founded general equilibrium model of the US economy where the policymaker faces uncertainty about... -
Averaging forecasts from VARs with uncertain instabilities (replication data)
Recent work suggests VAR models of output, inflation, and interest rates may be prone to instabilities. In the face of such instabilities, a variety of estimation or forecasting... -
Large Bayesian vector auto regressions (replication data)
This paper shows that vector auto regression (VAR) with Bayesian shrinkage is an appropriate tool for large dynamic models. We build on the results of De Mol and co-workers...
