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

This paper uses a simple New Keynesian monetary DSGE model as a prior for a vector autoregression and shows that the resulting model is competitive with standard benchmarks in terms of forecasting and can be used for policy analysis

This paper provides evidence that shifts in the occupational composition of the U.S. workforce are the most important factor explaining the trend decline in the labor share over the past four decades. Estimates suggest that while there is unitary elasticity between equipment capital and...

Emerging markets are more volatile and face different types of shocks, in size and nature, compared to their developed counterparts. Accurate identification of the stochastic properties of shocks is difficult. We show evidence suggesting that uncertainty about the underlying stochastic process...

This paper applies the Bayesian method to estimate a Dynamic Stochastic General Equilibrium (DSGE) model using quarterly data for the UK over the period from 1971:Q1 through 2009:Q2. The contribution of the paper is two-fold. First, we estimate a model characterised by nominal and real...

In this paper we adopt a Bayesian approach towards the estimation of the monetary policy preference parameters in a general equilibrium framework. We start from the model presented by Smets and Wouters (2003) for the euro area where, in the original set up, monetary policy behaviour is described...

This paper describes a dynamic stochastic general equilibrium model featuring a fraction of non-Ricardian agents in order to estimate the effects of fiscal policy in the euro area by means of Bayesian techniques. The model accounts for distortionary taxation on labor and capital income and on...