Regression modelQuasi-experimental / causal inference

Prostorno dvostruko robusna procjena

Prostorna dvostruko robusna procjena je poluparametarska kauzalna inferencijska metoda koja kombinira ponderiranje skora sklonosti s modeliranjem regresije ishoda — pružajući zaštitu od pogrešne specifikacije bilo koje komponente — uz izričito uzimanje u obzir prostorne autokorelacije među jedinicama. Ona proširuje klasični procjenitelj augmentirane inverzne vjerojatnosti ponderiranja (AIPW) na postavke gdje su dodjela tretmana i ishodi geografski grupirani ili prostorno zavisni.

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Izvori

  1. Papadogeorgou, G., Mealli, F., & Zigler, C. M. (2019). Causal inference with interfering units for cluster and population level treatment allocation programs. Biometrics, 75(3), 778-787. DOI: 10.1111/biom.13049
  2. Kennedy, E. H. (2016). Semiparametric theory and empirical processes in causal inference. In H. He, P. Wu, & D.-G. Chen (Eds.), Statistical Causal Inferences and Their Applications in Public Health Research (pp. 141-167). Springer. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Spatial Doubly Robust Causal Estimation. ScholarGate. https://scholargate.app/hr/causal-inference/spatial-doubly-robust-estimation

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Citirana u

ScholarGateSpatial Doubly Robust Estimation (Spatial Doubly Robust Causal Estimation). Preuzeto 2026-06-15 s https://scholargate.app/hr/causal-inference/spatial-doubly-robust-estimation · Skup podataka: https://doi.org/10.5281/zenodo.20539026