SPATIAL ECONOMETRIC MODELING OF ORIGIN-DESTINATION FLOWS*

Authors


  • *

    The authors would like to acknowledge Manfred M. Fischer, Randall W. Jackson, and Tony E. Smith for helpful discussions on this topic, as well as participants at the Fourth Spatial Econometrics and Statistics Workshop held in June, 2005 in Toulouse, and the Regional Science Association International Meetings in Las Vegas, NV held in November, 2005, and the March, 2006 Southern Regional Science Association Meetings in St. Augustine, FL, as well as an anonymous reviewer.

Abstract

ABSTRACT 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=n2 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).

Ancillary