A stochastic volatility model where volatility was driven solely by a latent variable called news was estimated for three stock indices. A Markov chain Monte Carlo algorithm was used for estimating Bayesian parameters and filtering volatilities. Volatility persistence being close to one was...

The “hollowing-out,” or “two poles” hypothesis is tested in the context of a Markov chain model of exchange rate transitions. In particular, two versions of the hypothesis—that hard pegs are an absorbing state, or that fixes and floats form a closed set, with no transitions to...

We consider an (otherwise standard) New Neoclassical Synthesis theoretical framework that allows a role for money. Money in our model has an informational role which consists in facilitating the estimation of the unobserved shocks that drive potential output and thus the state of the economy....

We study optimal monetary policy in a two-sector model. The conventional wisdom in the literature is that the monetary authority should optimally stabilize inflation in the sticky-price sector. We reassess this issue in a two sector economy with capital accumulation subject to adjustment costs....

This paper develops the theoretical background for the Limited Information Bayesian Model Averaging (LIBMA). The proposed approach accounts for model uncertainty by averaging over all possible combinations of predictors when making inferences about the variables of interest, and it...

External demand was the main driver of growth in Thailand in 2006 and 2007. However, WEO projections indicate moderating foreign demand in 2008, with U.S. growth being revised downwards to reflect the turmoil in housing and credit markets, and high oil prices. While the share of Thai exports to...

The paper constructs a new output gap measure for Vietnam by applying Bayesian methods to a two-equation AS-AD model, while treating the output gap as an unobservable series to be estimated together with other parameters. Model coefficients are easily interpretable, and the output gap series is...

This paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregressive models (BVARs). After describing the Bayesian principle of estimation, we first present the methodology originally developed by Litterman (1986) and Doan et al. (1984) and review alternative...