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 …

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

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

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 …

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

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 …

In many instances in empirical spatial analysis, the method of choice is a regression
analysis, whereby a variable of interest (the dependent variable) is related in a linear way to …

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 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 …

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