Como no Brasil existem grandes heterogeneidades com relação à renda per capita, buscou-se estudar importantes aspectos determinantes da formação dessa renda nos diversos municípios. Com base em dados de 5.425 municípios, foram empregadas técnicas de análise exploratória de dados...

This study try to identify the â-convergence process among regions in East Java using cross-section data of 30 regions for period 1983-2001, taking into account the presence of spatial heterogeneity and spatial dependence. Detection of spatial regimes using G-I* statistics on regional per...

This paper explores the implications that spatial effects can hold for the application of measures of sigma-convergence. The bias of a common indicator of convergence is examined for a family of spatial process models including: [a] spatial lag, [b] spatial error, and [c] spatial moving average....

The contention of this paper is that many social science research problems are too “wicked” to be suitably studied using conventional statistical and regression-based methods of data analysis. This paper argues that an integrated geospatial approach based on methods of machine learning is...

The STARMA (space-time autoregressive moving average) model class was introduced in the mid-1970s as a spatio-temporal extension to the ARMA time series model class. To enhance the model’s ability in dealing with spatial dependence and heterogeneity of observations, the article extends...

This paper exploits a relatively unique survey conducted in Serbia in late 2000 to examine the determinants of expenditures on goods and services provided through informal outlets. The research reported in this paper adds to a relatively small existing literature on the topic. The empirical...

Spatial effects are endemic in models based on spatially referenced data. The increased awareness of the relevance of spatial interactions, spatial externalities and networking effects among actors, evoked the area of spatial econometrics. Spatial econometrics focuses on the specification and...

Because of heterogeneity across regions, economic policy measures are increasingly targeted at the regional level. As a result, the need for economic forecasts at a sub-national level is rapidly increasing. The data available to compute regional forecasts is usually based on a pseudo-panel that...

When job search takes place across labour markets, the standard flow approach to labour market analysis fails to uncover the effectiveness at which workers are matched to available jobs. A spatially augmented matching function is backed by a spatial search model with endogenous search intensity....