This paper is concerned with the study of Bayesian inference procedures to commonly used time series models. In particular, the dynamic or state-space models, the time-varying vector autoregressive model and the structural vector autoregressive model are considered in detail. Inference...

This paper analyzes the ability of a random walk and, classical and Bayesian versions of autoregressive, vector autoregressive and vector error correction models in forecasting home sales for the four US census regions (Northeast, Middlewest, South, West), using quarterly data over the period of...

The paper investigates linkages between general macroeconomic conditions and the housing market for the G-7 area. Among the key results of the paper, it is found that the US are an important source of global fluctuations not only for real activity, nominal variables and stock prices, but also...

This paper analyzes the forecasting performance of an open economy dynamic stochastic general equilibrium (DSGE) model, estimated with Bayesian methods, for the Euro area during 1994Q1-2002Q4. We compare the DSGE model and a few variants of this model to various reduced-form forecasting models...

In this paper the contributions of economic and financial integration to international stock markets comovements are investigated by means of a large scale macroeconometric model, set in the factor vector autoregressive framework (FVAR). The findings point to a key role of both economic and...

In this paper international comovements among a set of key real and nominal macroeconomic variables for the G-7 countries have been investigated for the 1980-2005 period, using a Factor Vector Autoregressive approach. We present evidence that comovements in macroeconomic variables do not concern...

Two terms of a second-order approximation to the bias of the multivariate OLS estimate are derived using the same technique as in Nicholls and Pope (1988). The resulting second-order bias approximation is then tested against first-order alternatives on two bivariate Monte Carlo sijmulated VAR...