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Regression modelQuasi-experimental / causal inference

Balansiranje entropijom

Balansiranje entropijom je preprocessing metoda za kauzalnu inferenciju koja dodeljuje težine jedinicama kontrolne grupe tako da re-ponderisani kontrolni uzorak tačno odgovara eksperimentalnoj grupi na izabranom skupu momenata kovarijati (srednje vrednosti, varijanse, asimetrija). Uvedena od strane Hainmuellera (2012), zamenjuje pokušaje i greške u skraćivanju rezultata sklonosti sa optimizacijom maksimalne entropije pod ograničenjima koja postiže balans u jednom koraku.

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Izvori

  1. Hainmueller, J. (2012). Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies. Political Analysis, 20(1), 25-46. DOI: 10.1093/pan/mpr025
  2. Zhao, Q., & Coey, D. (2017). Entropy balancing is doubly robust. Journal of Causal Inference, 5(1). (Working paper version widely cited; see also Zhao & Coey 2018, Stanford GSB Research Paper.) link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Entropy Balancing for Causal Effects. ScholarGate. https://scholargate.app/sr/causal-inference/entropy-balancing

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Citirana u

ScholarGateEntropy Balancing (Entropy Balancing for Causal Effects). Preuzeto 2026-06-15 sa https://scholargate.app/sr/causal-inference/entropy-balancing · Skup podataka: https://doi.org/10.5281/zenodo.20539026