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INTERPRETING SPATIAL ECONOMETRIC ORIGIN‐DESTINATION FLOW MODELS
Author(s) -
LeSage James P.,
ThomasAgnan Christine
Publication year - 2015
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/jors.12114
Subject(s) - econometrics , autoregressive model , independence (probability theory) , gravity model of trade , spatial econometrics , focus (optics) , population , pace , flow (mathematics) , regression , computer science , mathematics , economics , geography , statistics , physics , geodesy , geometry , demography , sociology , international trade , optics
Spatial interaction or gravity models have been used to model flows that take many forms, for example population migration, commodity flows, traffic flows, all of which reflect movements between origin and destination regions. We focus on how to interpret estimates from spatial autoregressive extensions to the conventional regression‐based gravity models that relax the assumption of independence between flows. These models proposed by LeSage and Pace ([LeSage, James P., 2008], [LeSage, James P., 2009]) define spatial dependence involving flows between regions. We show how to calculate partial derivative expressions for these models that can be used to quantify these various types of effect that arise from changes in the characteristics/explanatory variables of the model.