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SPATIAL ECONOMETRIC MODELING OF ORIGIN‐DESTINATION FLOWS *
Author(s) -
LeSage James P.,
Pace R. Kelley
Publication year - 2008
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/j.1467-9787.2008.00573.x
Subject(s) - autoregressive model , econometrics , spatial analysis , block (permutation group theory) , spatial dependence , spatial econometrics , extension (predicate logic) , econometric model , star model , sample (material) , mathematics , computer science , statistics , autoregressive integrated moving average , geometry , time series , physics , thermodynamics , programming language
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 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).