Regression modelQuasi-experimental / causal inference

Spatial Instrumental Variables (Spatial IV / Spatial 2SLS)

Spatial Instrumental Variables (Spatial IV) is a causal inference method for settings where units — regions, firms, neighborhoods — are spatially interdependent, creating endogeneity that standard IV approaches ignore. It constructs instruments from the spatially lagged values of exogenous characteristics of neighboring units, then applies two-stage least squares to recover unbiased causal estimates in the presence of both endogenous regressors and spatial autocorrelation.

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Sources

  1. Kelejian, H. H., & Prucha, I. R. (1998). A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances. Journal of Real Estate Finance and Economics, 17(1), 99-121. DOI: 10.1023/A:1007707430416
  2. Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers, Dordrecht. ISBN: 978-9024737208

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Referenced by

ScholarGateSpatial Instrumental Variables (Spatial Instrumental Variables Estimation). Retrieved 2026-06-04 from https://scholargate.app/en/causal-inference/spatial-instrumental-variables