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Ανάλυση Αιτιώδους Επίπτωσης στην Αξιολόγηση Πολιτικής×Ανάλυση Διακοπτόμενης Χρονοσειράς (ITS)×
ΠεδίοΑιτιακή ΣυμπερασματολογίαΑιτιακή Συμπερασματολογία
ΟικογένειαRegression modelRegression model
Έτος προέλευσης20152002
ΔημιουργόςBrodersen, Gallusser, Koehler, Remy & Scott (2015); adapted for policy evaluation contextsWagner, Soumerai, Zhang & Ross-Degnan (segmented regression); Bernal, Cummins & Gasparrini (tutorial)
ΤύποςBayesian counterfactual / time-seriesQuasi-experimental segmented regression
Θεμελιώδης πηγήBrodersen, 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 ↗Bernal, J. L., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: a tutorial. International Journal of Epidemiology, 46(1), 348-355. DOI ↗
Εναλλακτικές ονομασίεςpolicy causal impact, BSTS policy evaluation, Bayesian policy impact assessment, CIA policy evaluationITS analysis, segmented regression of time series, Kesintili Zaman Serisi (ITS) Analizi
Συναφείς65
ΣύνοψηPolicy Evaluation Causal Impact Analysis applies the Bayesian structural time-series (BSTS) framework of Brodersen et al. (2015) to estimate the causal effect of a policy intervention on aggregate outcomes. By constructing a synthetic counterfactual from pre-policy data and control covariates, it asks: what would have happened had the policy not been enacted? The difference between observed and predicted post-policy outcomes is the estimated policy effect.Interrupted Time Series analysis is a quasi-experimental design that estimates the effect of a single, well-dated intervention by comparing the trajectory of an outcome before and after it occurs. Formalised as segmented regression by Wagner and colleagues (2002) and popularised as a public-health evaluation tutorial by Bernal, Cummins and Gasparrini (2017), it separates the intervention's impact into a change in level and a change in slope.
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ScholarGateΣύγκριση μεθόδων: Policy Evaluation Causal Impact Analysis · Interrupted Time Series. Ανακτήθηκε στις 2026-06-19 από https://scholargate.app/el/compare