The Swedish economy is strongly dependent on global economic developments, which is re‡ected in generally strong empirical relationships between Swedish and foreign macroeconomic variables. It is, however, diffi cult for standard open-economy dynamic stochastic general equilibrium (DSGE)...

One of the leading methods of estimating the structural parameters of DSGE models is the VAR-based impulse response matching estimator. The existing asymptotic theory for this estimator does not cover situations in which the number of impulse response parameters exceeds the number of VAR model...

One of the leading methods of estimating the structural parameters of DSGE models is the VAR-based impulse response matching estimator. The existing asympotic theory for this estimator does not cover situations in which the number of impulse response parameters exceeds the number of VAR model...

Previous studies have shown that linear models are incapable of capturing business cycle dynamics with accuracy. This has brought interest in non-linear models such as the Markov switching (MS) regime technique, which can distinguish business cycle recession and expansion phases, and is...

Spanish Abstract: Esta investigación evalúa el poder predictivo de una familia de modelos GARCH usados en la predicción de la volatilidad de los rendimientos de la Mezcla Mexicana de Exportación durante el periodo del 2 de enero de 1989 al 30 de diciembre de 2011. Los resultados empíricos...

The Swedish economy is strongly dependent on global economic developments, which is re ected in generally strong empirical relationships between Swedish and foreign macroeconomic variables. It is, however, diffi cult for standard open-economy dynamic stochastic general equilibrium (DSGE) models...

A common problem in estimating dynamic stochastic general equilibrium models is that the structural parameters of economic interest are only weakly identified. As a result, classical confidence sets and Bayesian credible sets will not coincide even asymptotically, and the mean, mode, or median...

Esta investigación evalúa el poder predictivo de una familia de modelos GARCH usados en la predicción de la volatilidad de los rendimientos de la Mezcla Mexicana de Exportación durante el periodo del 2 de enero de 1989 al 30 de diciembre de 2011. Los resultados empíricos evidencian un alto...

This paper motivates and develops a nonlinear extension of the Vector Autoregressive model which we call the Vector Floor and Ceiling model. Bayesian and classical methods for estimation and testing are developed and compared in the context of an application involving U.S. macroeconomic data. In...

In this paper, we examine causal relationships among inflation rate, output growth rate, inflation uncertainty and output uncertainty for ten Central and Eastern European transition countries. For this purpose, we estimate a bivariate GARCH model that includes output growth and inflation rates...