The Paper provides new tools for the evaluation of DSGE models, and applies it to a large-scale New Keynesian dynamic stochastic general equilibrium (DSGE) model with price and wage stickiness and capital accumulation. Specifically, we approximate the DSGE model by a vector autoregression (VAR),...

An analysis of the performance of GDP, employment and other labor market variables following the troughs in postwar U.S. business cycles points to much slower recoveries in the three most recent episodes, but does not reveal any significant change over time in the relation between GDP and...

Using a Bayesian likelihood approach, we estimate a dynamic stochastic general equilibrium model for the US economy using seven macro-economic time series. The model incorporates many types of real and nominal frictions and seven types of structural shocks. We show that this model is able to...

This Paper estimates a DSGE model with many types of shocks and frictions for both the US and the euro area economy over a common sample period (1974-2002). The structural estimation methodology allows us to investigate whether differences in business cycle behaviour are due to differences in...

We reformulate the Smets-Wouters (2007) framework by embedding the theory of unemployment proposed in Galí (2011a,b). We estimate the resulting model using postwar U.S. data, while treating the unemployment rate as an additional observable variable. Our approach overcomes the lack of...

In monetary policy strategies geared towards maintaining price stability, conditional and unconditional forecasts of inflation and output play an important role. In this Paper we illustrate how modern sticky-price dynamic stochastic general equilibrium (DSGE) models, estimated using Bayesian...

In Bayesian analysis of dynamic stochastic general equilibrium (DSGE) prior distributions for some of the taste-and-technology parameters can be obtained from microeconometric or pre-sample evidence, but it is difficult to elicit priors for the parameters that govern the law of motion of...

This Paper suggests that skill accumulation through past work experience, or ‘learning-by-doing’ (LBD), can provide an important propagation mechanism in a dynamic stochastic general equilibrium model, as the current labour supply affects future productivity. Our econometric analysis uses a...

The time series fit of dynamic stochastic general equilibrium (DSGE) models often suffers from restrictions on the long-run dynamics that are at odds with the data. Relaxing these restrictions can close the gap between DSGE models and vector autoregressions. This paper modifies a simple...

This paper reviews Bayesian methods that have been developed in recent years to estimate and evaluate dynamic stochastic general equilibrium (DSGE) models. We consider the estimation of linearized DSGE models, the evaluation of models based on Bayesian model checking, posterior odds comparisons,...