Bayesian dynamic linear models (DLM) are useful in time series modelling because of the flexibility that they present in obtaining a good forecast. They are based on a decomposition of the relevant factors which explain the behavior of the series through a series of state parameters....

In this paper, we analyze the productivity of farms across n = 370 municipalities located in the Center-West region of Brazil. We propose a stochastic frontier model with a latent spatial structure to account for possible unknown geographical variation of the outputs. This spatial component is...

Depois do crescimento acelerado e continuo dos anos 70, a economia brasileira passou, na decada seguinte, por um periodo de grande instabilidade na sua taxa anual de crescimento. Este artigo investiga em que medida os periodos de estagnacao e expansao da economia do pais podem ser explicados por...