Regression modelQuasi-experimental / causal inference

Bayesian dizajn studije događaja

Bayesian dizajn studije događaja proširuje klasični okvir studije događaja zamenom čestih testova značajnosti punim Bejzijanskim inferencijalnim okvirom. Procenjuje kako događaj (promena politike, najava, šok) menja putanju ishoda učenjem prethodnog modela iz prozora za procenu i ažuriranjem sa posmatranim podacima, dajući posteriorne raspodele o abnormalnim efektima i kumulativnim kauzalnim uticajima sa potpunom kvantifikacijom neizvesnosti.

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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/sr/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 sa https://scholargate.app/sr/causal-inference/bayesian-event-study-design · Skup podataka: https://doi.org/10.5281/zenodo.20539026