方法证据记录
Spatial SAC Model
The Spatial Autoregressive Combined (SAC) model, also known as the SARAR model, simultaneously accounts for spatial dependence in both the dependent variable and the error term. Formalized by LeSage and Pace (2009), the SAC model combines the spatial lag model and the spatial error model into a single framework, estimating two distinct spatial autoregressive parameters — one capturing substantive spatial interaction among outcomes and another capturing residual spatial correlation among disturbances.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Spatial Autoregressive Combined (SAC) Model
分类方法记录 · regression-model / spatial-analysis
- LeSage, J., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. · ISBN 978-1-4200-6424-7
精选声明
声明已持久化到证据分类账中，每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。