Local identification in DSGE models

On Identification of Bayesian DSGE Models

On Identification of Bayesian DSGE Models In recent years there has been increasing concern about the identification of parameters in dynamic stochastic general equilibrium (DSGE) models. Given the structure of DSGE models it may be difficult to determine whether a parameter is identified. For the researcher using Bayesian methods, a lack of identification may not be evident since the posterior...

Breaks in DSGE models

In this paper, we investigate the consequences of breaks in mean for the estimates of model parameters and the resulting inferences about the structure of the economy and policy implications. We explore the behavior of DSGE models that undergo occasional, but permanent shocks to the parameters that determine their steady state. We present a method for approximating the state space representatio...

Using Dsge Models

This paper is intended to be pedagogical rather than a presentation of original research. We describe a simple dynamic, stochastic general equilibrium (DSGE) model with capital utilization, capital adjustment costs, and a simple Cobb-Douglas technology to illustrate how DSGE models can be used to explain the past and to forecast the future. We identify one method to directly estimate latent var...

Econometric Issues in DSGE Models

Forecasting with DSGE Models

In this paper we review the methodology of forecasting with log-linearised DSGE models using Bayesian methods. We focus on the estimation of their predictive distributions, with special attention being paid to the mean and the covariance matrix of h-steps ahead forecasts. In the empirical analysis, we examine the forecasting performance of the New Area-Wide Model (NAWM) that has been designed f...