The software for spatial econometrics available in the R system for statistical computing is
reviewed. The methods are illustrated in a historical perspective, highlighting the main lines …

The volume on New Directions in Spatial Econometrics appeared in 1995 as one of the first
in the then new Springer series on Advances in Spatial Sciences. It very quickly became …

The papers appearing in this special issue of Papers in Regional Science, which is devoted
to spatial econometrics, come from the First International Conference of the Spatial …

Spatial regression deals with the specification, estimation, and diagnostic checking of
regression models that incorporate spatial effects. Two broad classes of spatial effects may …

The implementation of spatial econometric methods in empirical work in regional science
and urban economics has suffered from the lack of easy to use software. In this paper, we …

Spatial regression models allow us to account for dependence among observations, which
often arises when observations are collected from points or regions located in space. The …

In the introduction to New Directions in Spatial Econometrics (Anselin and Florax, 1995b),
the precursor to the current volume, we set out by arguing that “it would be an overstatement …

Spatial Econometrics provides a modern, powerful and flexible skillset to early career
researchers interested in entering this rapidly expanding discipline. It articulates the …

ABSTRACT A substantial hotly of applied statistical and econometric analysis in regional
science and geography deals with data collected for aggregate spatial units of observation …

Though standard spatial econometric models may be useful for specification testing, they
rely heavily on a parametric structure that is highly sensitive to model misspecification. The …