Regression modelQuasi-experimental / causal inference

Spatial Entropy Balancing

Spatial entropy balancing extends standard entropy balancing to observational settings where units are embedded in geographic space, incorporating spatial structure into the reweighting process so that balance is achieved while respecting spatial proximity, clustering, or spillover dependencies between units.

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Sources

  1. Hainmueller, J. (2012). Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies. Political Analysis, 20(1), 25-46. DOI: 10.1093/pan/mpr025
  2. Entropy balancing. Wikipedia. link

Related methods

ScholarGateSpatial Entropy Balancing (Spatial Entropy Balancing for Causal Inference). Retrieved 2026-06-04 from https://scholargate.app/en/causal-inference/spatial-entropy-balancing