Standard spatial autoregressive models rely on spatial weight structures constructed to model dependence among "n" regions. Ways of parsimoniously modeling the connectivity among the sample of "N"="n"-super-2 origin-destination (OD) pairs that arise in a closed system of interregional flows has remained a stumbling block. We overcome this problem by proposing spatial weight structures that model dependence among the "N" OD pairs in a fashion consistent with standard spatial autoregressive models. This results in a family of spatial OD models introduced here that represent an extension of the spatial regression models described in Anselin (1988). Copyright (c) 2008, Wiley Periodicals, Inc.
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