In this paper, by using cross-section regression analysis, we studied the economic and human development factors affecting the diffusion of the broadband internet access at the level of municipalities in Brazil. As economic development indicators we used the GDP per capita, GDP and how it is...

Using demand and supply simultaneous equations, including endogenous variables, it was analyzed the possible economic impact on the GDP and GDP per capita, resulted of the increase in the broadband internet access diffusion in Brazil. Broadband penetration, GDP, GDP per capita and population...

The goal of this paper is to evaluate the results of regional economic growth estimates at multiple spatial scales using spatial panel data models. The spatial scales examined are minimum comparable areas, micro-regions, meso-regions and states over the period between 1970 and 2000. Alternative...

This paper presents a discussion on several econometric models for estimating parametric models in the presence of spatial dependence with cross-section data. Initially, we cover models for spatial dependence with spatial lags of the response variable and spatial lags of the residues, and...

This paper presents a new methodology for hierarchical spatial clustering of contiguous polygons, based on a geographic coordinate system. The proposed algorithm is built upon a modification of traditional hierarchical clustering algorithm, commonly used in the multivariate analysis literature....

This paper studies a methodology for hierarchical spatial clustering of contiguous and homogeneous polygons, based on a set of binary variables. The proposed algorithm is built upon a modification of traditional agglomerative hierarchical clustering algorithm, commonly used in the multivariate...

This paper developed and applied the Stochastic Frontier Geographically Weighted (SFGW) to access the tax efficiency of the Brazilian states. The estimated coefficients obtained by this method were close to those from the traditional Stochastic Frontier estimation allowing, however, the...

The mapping of frequency rates of events is an important tool for guiding public policy. Nevertheless, this problem has not received adequate attention by most researchers. In many studies, the used ratios have serious problems when the geographic units have a small population at risk and when...

The Brazilian agricultural market is a key source of government revenues. Therefore, many studies are being done to assess the sector's productivity gain over time. This work focuses on mapping the gain of agricultural productivity in Brazil in the years 1990-2012 by micro-region. After an...