SPATIAL ECONOMETRIC MODELING OF ORIGIN-DESTINATION FLOWS

被引：342

作者：

LeSage, James P. ^{[1
]}

Pace, R. Kelley ^{[2
]}

机构：

[1] Texas State Univ, McCoy Endowed Chair Urban & Reg Econ, Dept Finance & Econ, San Marcos, TX 78666 USA

[2] Louisiana State Univ, EJ Ourso Coll Business Adm, Dept Finance, LREC Endowed Chair Real Estate, Baton Rouge, LA 70803 USA

来源：

JOURNAL OF REGIONAL SCIENCE | 2008年 / 48卷 / 05期

关键词：

D O I：

10.1111/j.1467-9787.2008.00573.x

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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).

引用

页码：941 / 967

页数：27

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