Spatial econometrics addresses the challenges posed by spatially correlated data, enabling researchers to understand and quantify how economic phenomena in one location can influence those in ...
Aim: In their recent paper, Kissling & Carl (2008) recommended the spatial error simultaneous autoregressive model ${\rm{(SAR}}_{{\rm{err}}} {\rm{)}}$ over ordinary ...
This article demonstrates a fast and practical procedure for the maximum likelihood estimation of models with spatial interaction on a lattice, such as Gaussian Markov random fields (conditional ...
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