Geographically weighted regression (GWR) was proposed in the geography literature to
allow relationships in a regression model to vary over space. In contrast to traditional linear …

Although spatial heterogeneity and spatial dependence are two cornerstones of spatial
econometrics, models and methods for dealing at the same time with both issues are still …

This paper continues from the discussion of Florax et al.(Florax, R., H. Folmer and S. Rey,
2003. Specification searches in spatial econometrics: the relevance of Hendry's …

In this paper I estimate the spatial diffusion of housing prices across US states over a period
from 1975 to 2011, showing how long and to what magnitude state-level housing prices are …

Geographical range expansions of blacklegged tick [Ixodes scapularis Say (Acari: Ixodidae)]
populations over time in the United States have been attributed to a mosaic of factors …

ABSTRACT The Spatial Econometrics Association appeared on the scene only five years
ago during a time of unprecedented expansion of research activities in the field. This paper …

In this simulation study, regressions specified with autocorrelation effects are compared
against those with relationship heterogeneity effects, and in doing so, provides guidance on …

Currently available (classical) testing procedures for the network autocorrelation can only be
used for falsifying a precise null hypothesis of no network effect. Classical methods can be …

In this simulation study, parametric bootstrap methods are introduced to test for spatial non-
stationarity in the coefficients of regression models. Such a test can be rather simply …

The network autocorrelation model has been extensively used by researchers interested
modeling social influence effects in social networks. The most common inferential method in …