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SPATIAL ECONOMETRIC MODELING OF ORIGIN‐DESTINATION FLOWS* |
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| Authors: | James P. LeSage R. Kelley Pace |
| Affiliation: | 1. McCoy Endowed Chair of Urban and Regional Economics, Texas State University, San Marcos, Department of Finance and Economics, San Marcos, TX 78666. E‐mail: jlesage@spatial‐econometrics.com;2. LREC Endowed Chair of Real Estate, Department of Finance, E.J. Ourso College of Business Administration, Louisiana State University, Baton Rouge, LA 70803‐6308. E‐mail: kelley@pace.am |
| 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) . |
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