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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.

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Spatial Autoregressive Combined (SAC) Model

Rekodi ya mbinu ya kiajenda · regression-model / spatial-analysis

LeSage, J., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. · ISBN 978-1-4200-6424-7

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Same method familySpatial Durbin Modelmachine-suggested · Relational suggestion, not evidence.Same method familySpatial Error Modelmachine-suggested · Relational suggestion, not evidence.Same method familySpatial Lag Modelmachine-suggested · Relational suggestion, not evidence.