ScholarGate
Assistent
Regression modelQuasi-experimental / causal inference

Panel Data Causal Impact Analysis

Panel data causal impact analysis udvider den Bayesianske strukturelle tidsserie-tilgang fra Brodersen et al. (2015) til multi-enheds panel-indstillinger, estimerer kontrafaktisk for flere behandlede enheder samtidigt ved hjælp af kontrolenheder som en donor-pulje. Den producerer troværdige intervaller for den kausale effekt på hvert tidspunkt efter interventionen, aggregeret på tværs af enheder og perioder.

Åbn i MethodMindSnartVideoSnartDownload slides

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Method map

The neighbourhood of related methods — select a node to explore.

Kilder

  1. Brodersen, K. H., Gallusser, F., Koehler, J., Remy, N., & Scott, S. L. (2015). Inferring causal impact using Bayesian structural time-series models. Annals of Applied Statistics, 9(1), 247-274. DOI: 10.1214/14-AOAS788
  2. Abadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic control methods for comparative case studies: Estimating the effect of California's tobacco control program. Journal of the American Statistical Association, 105(490), 493-505. DOI: 10.1198/jasa.2009.ap08746

Sådan citerer du denne side

ScholarGate. (2026, June 3). Panel Data Causal Impact Analysis. ScholarGate. https://scholargate.app/da/causal-inference/panel-data-causal-impact-analysis

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side
ScholarGatePanel Data Causal Impact Analysis (Panel Data Causal Impact Analysis). Hentet 2026-06-15 fra https://scholargate.app/da/causal-inference/panel-data-causal-impact-analysis · Datasæt: https://doi.org/10.5281/zenodo.20539026