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Spatial Fuzzy Regression Discontinuity Design

Spatial Fuzzy Regression Discontinuity Design (Spatial Fuzzy RDD) estimates a local average treatment effect when a geographic boundary determines treatment eligibility but some units on either side of the boundary fail to comply with their assigned status. It combines the spatial running-variable logic of geographic RDD with the instrumental-variable correction for imperfect compliance used in fuzzy RDD.

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Sources

  1. Keele, L., & Titiunik, R. (2015). Geographic Boundaries as Regression Discontinuities. Political Analysis, 23(1), 127-155. DOI: 10.1093/pan/mpu014 ↗
  2. Imbens, G., & Lemieux, T. (2008). Regression Discontinuity Designs: A Guide to Practice. Journal of Econometrics, 142(2), 615-635. DOI: 10.1016/j.jeconom.2007.05.001 ↗

Related methods

Fuzzy Regression DiscontinuityGeographic Regression DiscontinuityInstrumental Variables in Health ResearchSpatial Instrumental VariablesSpatial Regression Discontinuity Design

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ScholarGate — Spatial Fuzzy Regression Discontinuity (Spatial Fuzzy Regression Discontinuity Design). Retrieved 2026-06-04 from https://scholargate.app/tr/causal-inference/spatial-fuzzy-regression-discontinuity