Rumlig Propensity Score-vægtning
Rumlig propensity score-vægtning udvider invers sandsynlighed for behandlingsvægtning (IPTW) til situationer, hvor enheder er geografisk placeret, og behandlingsallokering kan afhænge af rumlige faktorer som placering, naboskabs-karakteristika eller rumlig klyngedannelse. Ved at inkludere rumlige kovariater i propensity score-modellen og justere standardfejl for rumlig autokorrelation, producerer den mere troværdige kausale estimater fra observationelle geografiske data.
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Method map
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Kilder
- Keele, L., & Titiunik, R. (2015). Geographic Boundaries as Regression Discontinuities. Political Analysis, 23(1), 127-155. DOI: 10.1093/pan/mpu014 ↗
- Hirano, K., Imbens, G. W., & Ridder, G. (2003). Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score. Econometrica, 71(4), 1161-1189. DOI: 10.1111/1468-0262.00442 ↗
Sådan citerer du denne side
ScholarGate. (2026, June 3). Spatial Propensity Score Weighting for Causal Inference. ScholarGate. https://scholargate.app/da/causal-inference/spatial-propensity-score-weighting
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.
- Geografisk vægtede regression (GWR)Rumlig analyse↔ compare
- Vægtning med den inverse behandlingssandsynlighed (IPW / IPTW)Kausal inferens↔ compare
- Propensity Score Weighting (PSW / IPW)Kausal inferens↔ compare
- Spatial Difference-in-DifferencesKausal inferens↔ compare
- Spatial Propensity Score MatchingKausal inferens↔ compare
- Spatial Regression Discontinuity Design (Spatial RDD)Kausal inferens↔ compare
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