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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Kilder
- 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 ↗
- 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 ↗
Sådan citerer du denne side
ScholarGate. (2026, June 3). Spatial Propensity Score Matching Estimator. ScholarGate. https://scholargate.app/da/causal-inference/spatial-propensity-score-matching
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Coarsened Exact Matching (CEM)Kausal inferens↔ compare
- Propensity Score MatchingForskningsstatistik↔ compare
- Rummelig dobbelt robust estimeringKausal inferens↔ compare
- Rumlig Instrumentalvariabel (Spatial IV / Spatial 2SLS)Kausal inferens↔ compare
- Spatial Regression Discontinuity Design (Spatial RDD)Kausal inferens↔ compare
- Spatial Synthetic Control MethodKausal inferens↔ compare
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