This paper studies the changes in world business cycles during 1960-2003. We employ a Bayesian dynamic latent factor model to estimate common and country-specific components in the main macroeconomic aggregates of the Group of Seven (G-7) countries. We then quantify the relative importance of...

This paper studies the changes in world business cycles during 1960-2003. We employ a Bayesian dynamic latent factor model to estimate common and country-specific components in the main macroeconomic aggregates of the Group of Seven (G-7) countries. We then quantify the relative importance of...

This paper designs and implements a Baynesian dynamic latent factor model for a vector of data describing the Iowa economy. Posterior distributions of parameters and the latentfactor are analyzed by Markov Chain Monte Carlo methods, and coincident and leading indicators are given by posterior...