Regression modelQuasi-experimental / causal inference

Spatial Matching Estimator

The Spatial Matching Estimator estimates causal treatment effects by pairing each treated geographic unit with one or more similar untreated units nearby, exploiting the assumption that units close in space share similar unobserved characteristics. By restricting matches to a geographic neighbourhood or weighting by spatial proximity, the method controls for location-specific confounders that standard matching ignores.

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Sources

  1. Abadie, A., & Imbens, G. W. (2006). Large Sample Properties of Matching Estimators for Average Treatment Effects. Econometrica, 74(1), 235-267. DOI: 10.1111/j.1468-0262.2006.00655.x
  2. Matching (statistics). Wikipedia. link

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Referenced by

ScholarGateSpatial Matching Estimator (Spatial Matching Estimator for Causal Inference). Retrieved 2026-06-04 from https://scholargate.app/en/causal-inference/spatial-matching-estimator