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Msaidizi
Regression modelQuasi-experimental / causal inference

Tofauti-katika-Tofauti za Kibayesia

Tofauti-katika-Tofauti za Kibayesia hutumia hitimisho la takwimu za Kibayesia kwenye muundo wa kawaida wa DiD, ikibadilisha makadirio ya uhakika ya kifrequentist na usambazaji kamili wa baada ya tukio (posterior distributions) juu ya athari ya matibabu. Hii haitoi tu makadirio ya athari ya kisababishi bali pia taarifa thabiti ya uwezekano kuhusu ukubwa na kutokuwa na uhakika wake, na kuifanya kuwa muhimu hasa wakati saizi za sampuli ni ndogo au maarifa ya awali yenye taarifa yanapatikana.

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Vyanzo

  1. Li, F., & Marchand, J. (2023). Bayesian inference for difference-in-differences. Econometrics Journal, 26(3), 509-529. link
  2. 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

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Bayesian Difference-in-Differences Estimator. ScholarGate. https://scholargate.app/sw/causal-inference/bayesian-difference-in-differences

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Imerejelewa na

ScholarGateBayesian Difference-in-Differences (Bayesian Difference-in-Differences Estimator). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/bayesian-difference-in-differences · Seti ya data: https://doi.org/10.5281/zenodo.20539026