In this paper we show analytically, with simulation experiments and with actual data that a mismatch between the time scale of a DSGE model and that of the time series data used for its estimation generally creates identification problems, introduces estimation bias and distorts the results of...

We examine a trivariate time series model that is subject to a regime switch, where the shifts are governed by an unobserved, two-state variable that follows a Markov process. The analysis is performed in a Bayesian framework developed by Albert and Chib (1993), where the unobserved states are...

We outline a dynamic stochastic general equilibrium (DSGE) model with trend extrapo-lation in asset pricing that we fit to quarterly U.S. macroeconomic time series with Baye-sian techniques. To be more precise, we modify the DSGE model in Smets and Wouters (2007) by incorporating asset traders...

Over the last two centuries, the cross-spectral coherence between either narrow or broad money growth and inflation at the frequency ù=0 has exhibited little variationbeing, most of the time, close to onein the U.S., the U.K., and several other countries, thus implying that the fraction of...

This paper investigates multivariate Beveridge-Nelson decomposition of key macro aggregate data. We find (a) inflation seems to be dominated by its trend component, and, perhaps as a result of this, the short-term interest rate is also trend dominated; and (b) consumption also seems to be...

We outline a dynamic stochastic general equilibrium (DSGE) model with trend extrapo-lation in asset pricing that we fit to quarterly U.S. macroeconomic time series with Baye-sian techniques. To be more precise, we modify the DSGE model in Smets and Wouters (2007) by incorporating asset traders...

The dynamic comovement between time series is a key concept in macroeconomic analysis. The extent to which series are cyclically synchronized is particularly important for evaluating the feasibility of common policy measures for groups of countries. This paper investigates concepts in the time...

This paper explores the potential of Business Survey data for the estimation and disaggregation of macroeconomic variables at higher frequency. We propose a multivariate approach which is an extension of the Stock and Watson (1991) dynamic factor model, considering more than one common factor...

In this paper we investigate whether the dynamic properties of the U.S. business cycle have changed in the last fifty years. For this purpose we develop a flexible business cycle indicator that is constructed from a moderate set of macroeconomic time series. The coincident economic indicator is...

To gain insights in the current status of the economy, macroeconomic time series are often decomposed into trend, cycle and irregular components. This can be done by nonparametric band-pass filtering methods in the frequency domain or by model-based decompositions based on autoregressive moving...