Regression modelQuasi-experimental / causal inference

Bayesian Event Study Design

Bayesian Event Study Design proširuje klasični okvir event studije zamjenom frequentističkog testiranja značajnosti punim inferencijalnim okvirom temeljenim na Bayesovoj teoremi. Procjenjuje kako događaj (promjena politike, najava, šok) mijenja putanju ishoda učenjem prethodnog modela iz prozora za procjenu i njegovim ažuriranjem s promatranim podacima, dajući posteriorne distribucije o abnormalnim učincima i kumulativnim kauzalnim utjecajima s potpunom kvantifikacijom nesigurnosti.

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Izvori

  1. Sorescu, A., Warren, N. L., & Ertekin, L. (2017). Event study methodology in the marketing literature: An overview. Journal of the Academy of Marketing Science, 45(2), 186-207. DOI: 10.1007/s11747-017-0516-y
  2. Glassman, M., & McAfee, R. B. (1996). Bayesian estimation of abnormal stock returns. Journal of Business & Economic Statistics, 10(3), 321-332. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Bayesian Event Study Design for Causal Inference. ScholarGate. https://scholargate.app/hr/causal-inference/bayesian-event-study-design

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ScholarGateBayesian Event Study Design (Bayesian Event Study Design for Causal Inference). Preuzeto 2026-06-15 s https://scholargate.app/hr/causal-inference/bayesian-event-study-design · Skup podataka: https://doi.org/10.5281/zenodo.20539026