The paper proposes a novel method for conducting policy analysis with potentially misspecified dynamic stochastic general equilibrium (DSGE) models and applies it to a New Keynesian DSGE model along the lines of Christiano, Eichenbaum, and Evans (JPE 2005) and Smets and Wouters (JEEA 2003). We...

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. Using Bayesian methods we estimate a stochastic growth model in which hours worked are stationary and a modified version with...

This paper develops a small-scale two country model following the New Open Economy Macroecoenomics paradigm. Under autarky the model specializes to the familiar three equation New Keynesian dynamic stochastic general equilibrium (DSGE) model. We discuss two challenges to successful estimation of...

We provide computationally simple methods of analyzing the effects of fundamental and sunspot shocks in linear rational expectations models when the equilibrium is indeterminate Under indeterminacy sunspots can affect model dynamics through endogenous forecast errors that do not completely...

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),...

This paper considers a prototypical monetary business cycle model for the U.S. economy, in which the equilibrium is undetermined if monetary policy is ‘inactive? In previous multivariate studies it has been common practice to restrict parameter estimates to values for which the equilibrium is...

Data from a heterogeneous-agents economy with incomplete asset markets and indivisible labor supply are simulated under various scal policy regimes and an approximating representative-agent model is estimated. Preference and technology parameter estimates of the representative-agent model are...

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We develop a sequential Monte Carlo (SMC) algorithm for estimating Bayesian dynamic stochastic general equilibrium (DSGE) models, wherein a particle approximation to the posterior is built iteratively through tempering the likelihood. Using three examples consisting of an artificial state-space...