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Regression modelQuasi-experimental / causal inference

Dünaamiline sündmusuuringu disain

Dünaamiline sündmusuuringu disain laiendab standardset erinevus-kahest-erinevusest raamistikku, hinnates ravi mõju igal perioodil enne ja pärast sündmust, selle asemel et koondada kõik ühte post-ravi koefitsienti. Juhtivate ja viivituse koefitsientide plottimisel suhtelise sündmusaja suhtes saavad uurijad samaaegselt testida olemasolevaid trende ja jälgida, kuidas põhjuslik mõju areneb mitme post-ravi perioodi jooksul.

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Allikad

  1. Sun, L., & Abraham, S. (2021). Estimating dynamic treatment effects in event studies with heterogeneous treatment effects. Journal of Econometrics, 225(2), 175-199. DOI: 10.1016/j.jeconom.2020.09.006
  2. Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. DOI: 10.1016/j.jeconom.2020.12.001

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Dynamic Event Study Design (Lead-Lag Specification). ScholarGate. https://scholargate.app/et/causal-inference/dynamic-event-study-design

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ScholarGateDynamic Event Study Design (Dynamic Event Study Design (Lead-Lag Specification)). Loetud 2026-06-15 aadressilt https://scholargate.app/et/causal-inference/dynamic-event-study-design · Andmestik: https://doi.org/10.5281/zenodo.20539026