Regression modelQuasi-experimental / causal inference

Entropy Balancing

Entropy balancing je metoda pretobrade za kauzalnu inferenciju koja kontrolnim jedinicama dodjeljuje utege tako da reponderirana kontrolna uzorka točno odgovara eksperimentalnoj skupini prema odabranom skupu kovarijatnih momenata (srednje vrijednosti, varijance, asimetrija). Uveo ju je Hainmueller (2012.), zamjenjuje pokušaje i pogreške u obrezivanju skora sklonosti (propensity-score trimming) optimizacijom maksimalne entropije pod ograničenjima koja postiže ravnotežu 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/hr/causal-inference/entropy-balancing

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Citirana u

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