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Regression modelQuasi-experimental / causal inference

Spatial Propensity Score Matching

Spatial Propensity Score Matching (Spatial PSM) udvider det klassiske propensity score matching-framework til situationer, hvor enheder er indlejret i geografisk rum, og behandlingsallokering eller udfald kan være rumligt korrelerede. Ved at inkorporere rumlige kovariater og naboskabsstruktur i propensitymodellen og matchingproceduren, producerer den kausale estimater, der tager højde for geografisk konfundering og spillover-effekter.

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  1. Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. DOI: 10.1093/biomet/70.1.41
  2. Kelejian, H. H., & Prucha, I. R. (2004). Estimation of simultaneous systems of spatially interrelated cross sectional equations. Journal of Econometrics, 118(1-2), 27-50. DOI: 10.1016/S0304-4076(03)00133-7

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ScholarGate. (2026, June 3). Spatial Propensity Score Matching Estimator. ScholarGate. https://scholargate.app/da/causal-inference/spatial-propensity-score-matching

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ScholarGateSpatial Propensity Score Matching (Spatial Propensity Score Matching Estimator). Hentet 2026-06-15 fra https://scholargate.app/da/causal-inference/spatial-propensity-score-matching · Datasæt: https://doi.org/10.5281/zenodo.20539026