Panel Data Causal Impact Analysis
Panel data causal impact analysis extends the Bayesian structural time-series approach of Brodersen et al. (2015) to multi-unit panel settings, estimating the counterfactual for several treated units simultaneously using control units as a donor pool. It produces credible intervals for the causal effect at each post-intervention time point, aggregated across units and periods.
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Avoti
- 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 ↗
- 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 ↗
Kā citēt šo lapu
ScholarGate. (2026, June 3). Panel Data Causal Impact Analysis. ScholarGate. https://scholargate.app/lv/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.
- Kausaālās ietekmes analīzeCēloņsakarību secināšana↔ compare
- Diferenču starpībām (Diff-in-Diff)Ekonometrija↔ compare
- Panel Data Difference-in-Differences (Panel DiD / TWFE)Cēloņsakarību secināšana↔ compare
- Paneļdatu pārtraukto laika rindu analīzeCēloņsakarību secināšana↔ compare
- Panel Data Synthetic Control MethodCēloņsakarību secināšana↔ compare
- Sintētiskās kontroles metode (SCM)Cēloņsakarību secināšana↔ compare
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