Introduction

Spatial Econometric Models

The SPATIALREG procedure analyzes spatial econometric models for cross-sectional data where observations are spatially referenced or georeferenced. The SPATIALREG procedure includes the following features:

  • linear models with spatial log of X (SLX) effects

  • spatial autoregressive (SAR) model

  • spatial Durbin model (SDM)

  • spatial error model (SEM)

  • spatial Durbin error model (SDEM)

  • spatial moving average (SMA) model

  • spatial Durbin moving average (SDMA) model

  • spatial autoregressive moving average (SARMA) model

  • spatial Durbin autoregressive moving average (SDARMA) model

  • spatial autoregressive confused (SAC) model

  • spatial Durbin autoregressive confused (SDAC) model

  • k-order binary contiguity spatial weight matrices

  • k-order nearest neighbor spatial weight matrices

  • compact representations of spatial weight matrices

  • Taylor and Chebyshev approximations for large data sets

Last updated: June 19, 2025