James LeSage 1. obseRVation-leVel data dependence spatial econometrics is a subset of
the broader econometrics discipline that deals with modeling situations involving spatially …

Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical
aspects of the data used by regional scientists. These characteristics may cause standard …

Although interest in spatial regression models has surged in recent years, a comprehensive,
up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial …

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 …

Past applications of spatial regression models have frequently interpreted the parameter
estimates of models that include spatial lags of the dependent variable incorrectly. A …

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 …

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

In recent years, the role of space in general and of spatial externalities in particular has
gained an increasingly prominent position in mainstream economics, in part stimulated by …

The purpose of this paper is threefold. First, we give an overview of the general direction the
spatial econometrics literature has taken without attempting to provide a representative …

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 …