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Regression modelQuasi-experimental / causal inference

Uchambuzi wa Athari Husababishi wa Tathmini ya Sera

Uchambuzi wa Athari Husababishi wa Tathmini ya Sera hutumia mfumo wa Bayesian structural time-series (BSTS) wa Brodersen et al. (2015) kukadiria athari husababishi ya uingiliaji wa sera kwenye matokeo ya jumla. Kwa kuunda kauntafaktua bandia kutoka kwa data ya kabla ya sera na vigezo vya kudhibiti, huuliza: ingekuwaje kama sera haingetekelezwa? Tofauti kati ya matokeo yaliyozingatiwa na yaliyokadiriwa baada ya sera ndiyo makadirio ya athari ya sera.

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Vyanzo

  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

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Policy Evaluation Causal Impact Analysis via Bayesian Structural Time-Series. ScholarGate. https://scholargate.app/sw/causal-inference/policy-evaluation-causal-impact-analysis

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Linganisha bega kwa bega
ScholarGatePolicy Evaluation Causal Impact Analysis (Policy Evaluation Causal Impact Analysis via Bayesian Structural Time-Series). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/policy-evaluation-causal-impact-analysis · Seti ya data: https://doi.org/10.5281/zenodo.20539026