ScholarGate
Asisten

Bandingkan metode

Tinjau metode pilihan Anda berdampingan; baris yang berbeda akan disorot.

Evaluasi Dampak Kontrafaktual Bayesian×Metode Kontrol Sintetis (SCM)×
BidangInferensi KausalInferensi Kausal
KeluargaRegression modelRegression model
Tahun asal2015 (canonical implementation); Rubin potential outcomes: 1974-20052003–2010
PencetusBrodersen, Gallusser, Koehler, Remy & Scott; Rubin potential outcomes frameworkAlberto Abadie & Javier Gardeazabal (2003); Abadie, Diamond & Hainmueller (2010)
TipeBayesian causal inference / counterfactual estimationQuasi-experimental causal inference
Sumber perintisBrodersen, 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 ↗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 ↗
AliasBayesian CIE, Bayesian causal impact, Bayesian structural time-series causal inference, BSTS counterfactual evaluationSCM, synthetic control, synth estimator, Abadie-Diamond-Hainmueller method
Terkait54
RingkasanBayesian Counterfactual Impact Evaluation estimates the causal effect of an intervention by constructing a Bayesian posterior distribution over the counterfactual outcome — what would have happened without treatment. The method, popularized by Brodersen et al. (2015) through the CausalImpact framework, uses Bayesian structural time-series models fitted on the pre-intervention period to predict the counterfactual trajectory, then compares observed post-intervention outcomes to that prediction.The Synthetic Control Method estimates the causal effect of a treatment or policy on a single treated unit by constructing a weighted combination of untreated units — the synthetic control — that closely resembles the treated unit before the intervention. The gap between the treated unit and its synthetic counterpart after the intervention is the estimated treatment effect.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Ke halaman pencarian Unduh salindia

ScholarGateBandingkan metode: Bayesian Counterfactual Impact Evaluation · Synthetic Control Method. Diakses 2026-06-18 dari https://scholargate.app/id/compare