INTERPRETING SPATIAL ECONOMETRIC ORIGIN‐DESTINATION FLOW MODELS
聚焦于如何解读空间自回归扩展重力模型的估计结果，通过计算偏导数表达式来量化模型中解释变量变化产生的各种效应，帮助研究者理解流数据中的空间依赖关系。
ABSTRACT 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 ( , ) 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.