A two-block open economy model is estimated in this paper using Australian and U.S. data. Evaluation of the estimated model is carried out in relation to a simple closed economy alternative. Namely, we inspect the implied transmission mechanisms, and examine the relative out-of-sample...

This paper investigates the asymmetric effects of monetary shocks when the=20 impact of monetary policy on real activity works through state-dependent=20 variables. We use a nonlinear model, the multiple regime smooth transition=20 autoregressive model, that allows the effects of shocks to vary...

This paper estimates a DSGE model with learning to re-examine the evidence on time variation in post-war U.S. monetary policy. Several papers document a regime switch, by showing that policy changed from `passive' and destabilizing in the pre-1979 period to `active' and stabilizing in the...

This paper revisits the question if the user cost of capital plays an important role for investment decisions using Bayesian estimation techniques. These methods offer advantages over classical econometric tools in this area: The most important are that prior distributions offer a convincing way...

We proposed clear, methodologically sound framework for analyzing SVAR with priors on impulse responses. We showed it poses no difficulties in deriving the posterior which even in case of unidentified SVAR with flat prior on impulse functions (under the appropriate requirement tying number of...

The structural vector autoregression (SVAR) has become a central tool for research in empirical macroeconomics. Because the vast majority of these models are exactly identified, researchers have traditionally relied upon the informal use of prior information to compare alternative...

A welfare analysis of a risky policy is impossible within a linear or linearized model and its certainty equivalence property. The presented algorithms are designed as a toolbox for a general model class. The computational challenges are considerable and I concentrate on the numerics and...

Using Markov Chain Monte Carlo algorithms within the limited information Bayesian framework, we estimate the parameters of the structural equation of interest and test weak exogeneity in a simultaneous equation model with white noise as well as autocorrelated error terms. A numerical example and...

Euler equation models represent an important class of macroeconomic systems. Our research on the Leeper and Sims Euler equations macroeconomic model reveals the existence of singularity-induced bifurcations, when the model's parameters are within a confidence region about the parameter...