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...

This paper studies the determination of the surpluses of the Brazilian central government. For quarterly data from 1996 through 2011, the empirical strategy included: i) structural break models and nonlinear estimates on the level of public debt, to handle the inertia after 1999, for high levels...

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...