While estimates of models with spatial interaction are very sensitive to the choice of spatial weights, considerable uncertainty surrounds the definition of spatial weights in most studies with cross-section dependence. We show that, in the spatial error model, the spatial weights matrix is only...

While estimates of models with spatial interaction are very sensitive to the choice of spatial weights, considerable uncertainty surrounds definition of spatial weights in most studies with cross-section dependence. We show that, in the spatial error model the spatial weights matrix is only...

This paper proposes a methodology for estimation of spatial weights matrices which are consistent with a given or estimated pattern of spatial autocovariance. This approach is potentially useful for applications in urban, environmental, development, growth and other areas of economics where...

The transparency of the monetary policymaking process at the Bank of England has provided very detailed data on both the votes of individual members of the Monetary Policy Committee and the information on which they are based. In this paper we consider interval censored responses of individual...

Inferences based on spatial analysis of areal data depend greatly on the method used to quantify the degree of proximity between spatial units - regions. These proximity measures are normally organized in the form of weights matrices, which are used to obtain statistics that take into account...

One of main characteristics for building energy in urban environment is spatially distributed. Both electricity and gas per dwelling in London have positive spatial autocorrelation, which indicates that neighbourhoods tend to cluster together with similar energy use. More importantly, when...

The spatial interactions between the areas express the existence of a spatial dependence also called autocorrelation. The modelization of these interactions requires the use of spatial weights matrix. In the literature, the matrix of adjacency and k-nearest neighbors are most usually used. We...