… Spatial econometric theory and practice have been dominated by a focus on object data.
In … in geographic space, such as addresses, census tracts and regions. In contrast spatial …

… One potential source of misspecification in spatial econometric models comes from spatial
heterogeneity. There are typically two aspects to spatial heterogeneity: structural instability …

… spatial weights matrices that reflect the extent to which individual neighbors mutually influence
each other, this article demonstrates how spatial econometrics … to note that these spatial …

… Note that, as described in Section 2.1, spatial econometrics models can be derived from
this implementation. In particular, the SEM is a particular case of Equation (14) with β = 0 . The …

… If −λβ = δ is satisfied, then we have SDM (note however, that we do not consider the spatial
lag of the constant term). The test of the null hypothesis of λβ + δ = 0 is called a common …

… This results in our putting Bayesian methods for spatial econometric models aside until they
become available in other languages than MATLAB. Finally, we have chosen not to consider …

… spatial analysis and the other using spatial econometrics—and concludes with the outlook
of spatial analysis and spatial … Note that we also specify the name of the color palette to use …

… The critique of spatial econometrics emanating from some … of the work of the spatial
econometrics and wider academic community. … Note that it is possible that having controlled for …

In this paper, we address the possible problem related to using strictly spatial modeling
techniques for spatial data pooled over time. For these data, such as real estate, the spatial …

… for spatial econometric model specifications. We discuss how spatial econometric models
can … Moran's I test for spatial dependence is based on a statistic with a linear-quadratic form. …