In this note, we compare three test statistics that have been suggested to assess the presence of spatial error autocorrelation in probit models. We highlight the differences between the tests proposed by Pinkse and Slade (J Econom 85(1):125–254, <CitationRef CitationID="CR13">1998</CitationRef>), Pinkse (Asymptotics of the Moran test...</citationref>

This article introduces a new approach to measuring neighborhood change. Instead of the traditional method of identifying “neighborhoods” a priori and then studying how resident attributes change over time, this approach looks at the neighborhood more intrinsically as a unit that has both a...

The importance and relevance of methods to deal with spatial effects in econometric models has received increased recognition, in part due to a renewed interest for the role of space and spatial interaction in social science theory, the availability of large socio-economic data sets with...

Advances in Spatial Science This series of books is dedicated to reporting on recent advances in spatial science. It contains scientific studies focusing on spatial phenomena, utilising theoretical frameworks, analytical methods, and empirical procedures specifically designed for spatial...

1: Introduction -- 2: The Scope of Spatial Econometrics -- 3: The Formal Expression of Spatial Effects -- 4: A Typology of Spatial Econometric Models -- 5: Spatial Stochastic Processes: Terminology and General Properties -- 6: The Maximum Likelihood Approach to Spatial Process Models -- 7:...