We propose a method to incorporate information from Dynamic Stochastic General Equilibrium (DSGE) models into Dynamic Factor Analysis. The method combines a procedure previously applied for Bayesian Vector Autoregressions and a Gibbs Sampling approach for Dynamic Factor Models. The factors in...

In the recent New Keynesian literature a standard assumption is that the price for which an intermediate good is sold to the final good firm is equal to the marginal costs of the intermediate good firm. However, there is empirical evidence that this need not to hold. This paper introduces price...

This paper considers the implications of adding capital as a factor of production in a stochastic DGE model with sticky prices. Particular attention is given to the role of money demand and to the form of the utility function. I consider cash-in-advance- (CIA) as well as...

Recently macroeconomists have intensified their efforts to develop models that are able to generate persistent reactions of real variables to monetary shocks in stochastic DGE models with nominal rigidities. This has proven to be quite difficult in models with price staggering only. Most papers...

We use data generated by a macroeconomic DSGE model to study the relative benefits of forecast combinations based on forecast-encompassing tests relative to simple uniformly weighted forecast averages across rival models. Assumed rival models are four linear autoregressive specifications, one of...

We propose a numerical method, based on indirect inference, for checking the identification of a DSGE model. Monte Carlo samples are generated from the model's true structural parameters and a VAR approximation to the reduced form estimated for each sample. We then search for a different set of...

This paper introduces heterogeneous households into an otherwise standard sticky-price model with industry-specific labor markets. Households differ in labor incomes and asset markets are incomplete. I show that household heterogeneity affects equilibrium dynamics nontrivially by amplifying...