The monetary authorities need a future measure of inflation trend to keep on tracking the inflation on target. Many alternatives of the core inflation measure have appeared in the recent literature pretending to avoid the deficiencies of the usual headline inflation index as a predictor. This...

We offer a decomposition for the variance of the current unemployment rate that not only measures the contributions of labor market flows but also of the approximation error embedded in other decompositions that use surrogates for the current rate. Using data for the United States and Brazil,...

The evolution of the yields of different maturities is related and can be described by a reduced number of commom latent factors. Multifactor interest rate models of the finance literature, common factor models of the time series literature and others use this property. Each model has advantages...

Based on three versions of a small macroeconomic model for Brazil, this paper presents empirical evidence on the effects of parameter uncertainty on monetary policy rules and on the robustness of optimal and simple rules over different model specifications. By comparing the optimal policy rule...

Space-varying regression models are generalizations of standard linear models where the regression coefficients are allowed to change in space. The spatial structure is specified by a multivariate extension of pairwise difference priors thus enabling incorporation of neighboring structures and...

Regulation in the sanitation sector in Brazil is facing a great deal of debate regarding the government level in which conceding authority should reside and how private operators can fulfill social objectives. The main objective of this study is to show that these issues are not the crucial...

The objective of our work is to study the term structure of interest rates and the sovereign credit spreads of emerging markets. We develop a model from term structure, credit risk and vector autoregressive models, based on the articles by Ang and Piazzesi (2003) and Ang, Dong and Piazzesi...

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 describes the inference procedures required to perform Bayesian inference to some multivariate econometric models. These models have a spatial component built into commonly used multivariate models. In particular, the seemingly unrelated regression and vector autoregressive models are...