Separable spatial modeling of spillovers and disturbances

Document Type

Article

Publication Date

1-1-2012

Abstract

The single spatial parameter in the spatial autoregressive model affects both the estimation of spillovers and the estimation of spatial disturbances. Consequently, the spatial autoregressive model has the undesirable property that if the degree of spatial dependence in the disturbances differs from that in the spillovers, neither may be estimated correctly. We show theoretically that the dependence structure for the spillovers and disturbances can differ and conduct a Monte Carlo experiment that verifies these findings. In contrast, estimates from a simple separable model show little bias in all the scenarios. We also show differences between the spatial autoregressive model and the separable model on five empirical examples. © 2011 Springer-Verlag.

Publication Source (Journal or Book title)

Journal of Geographical Systems

First Page

75

Last Page

90

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