The aim of this article is to estimate a Bayesian factorial dynamic model for the analysis and forecasting of the Brazilian tax burden (BTB) using monthly data from 1996 to 2007. Twenty taxes are responsible for about 80% of the BTB, each of which with a distinct seasonal pattern The factorial...

The aim of this article is to estimate a Bayesian factorial dynamic model for the analysis and forecasting of the Brazilian tax burden (BTB) using monthly data from 1996 to 2007. Twenty taxes are responsible for about 80% of the BTB, each of which with a distinct seasonal pattern The factorial...

This paper aims to compare two different methodologies to estimate exchange rate misalignment. The first methodology consists in using multivariate time series techniques and a model with domestic variables. The second methodology consists in Pesaran's Global Vector Error Correction Model with...

This paper aims to compare two different methodologies to estimate exchange rate misalignment. The first methodology consists in using multivariate time series techniques and a model with domestic variables. The second methodology consists in Pesaran’s Global Vector Error Correction Model with...