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Regression modelQuasi-experimental / causal inference

Analisis Kesan Kausal Data Panel

Analisis kesan kausal data panel melanjutkan pendekatan siri masa struktur Bayesian Brodersen et al. (2015) kepada tetapan panel berbilang unit, menganggarkan kontrafaktual untuk beberapa unit yang dirawat secara serentak menggunakan unit kawalan sebagai kolam penderma. Ia menghasilkan selang yang boleh dipercayai untuk kesan kausal pada setiap titik masa pasca-intervensi, diagregatkan merentasi unit dan tempoh.

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Sumber

  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

Cara memetik halaman ini

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

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ScholarGatePanel Data Causal Impact Analysis (Panel Data Causal Impact Analysis). Dicapai 2026-06-15 daripada https://scholargate.app/ms/causal-inference/panel-data-causal-impact-analysis · Set data: https://doi.org/10.5281/zenodo.20539026