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The aim of this paper is to define and test local versions of standard correlation coefficients in statistical analysis. This research is motivated by the increasing number of applications using local versions of exploratory and explanatory spatial data analysis methods. A common example of the...
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Homeownership is heavily subsidized in many countries mainly through the tax code. The adverse effects of lenient tax treatment of owner-occupied housing on economic efficiency and growth are well documented in the economics literature. The main argument in favor of subsidizing owner-occupied...
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The economic convergence among European regions over the period 1980-2006 is analysed in the first place by using a conditional β-convergence model and a distance-based weight matrix and secondarily by a spatially-conditioned stochastic kernel approach. A Spatial Autoregressive model which...
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"Spatial thinking" is increasingly popular in housing market studies and spatial dependence across properties has been widely investigated in the intra-city housing market. The contribution of this paper is to study the spatial dependence and spillover effect of house prices from an interurban...
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The seemingly unrelated regressions (SUR) equations are a traditional multivariate econometric formulation employed in very different fields including, obviously, spatial analysis. The basis of the approach is very well known due to the initial works of Zellner (1962), Theil (1971), Malinvaud...
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