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Байесовский метод инструментальных переменных (Bayesian IV)×Разность разностей (Difference-in-Differences, DiD)×
ОбластьПричинно-следственный выводЭконометрика
СемействоRegression modelRegression model
Год появления20031994
Автор методаKleibergen & Zivot (2003); Lancaster (2004)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
ТипCausal inference / Bayesian estimationCausal inference / panel regression
Основополагающий источникKleibergen, F., & Zivot, E. (2003). Bayesian and classical approaches to instrumental variable regression. Journal of Econometrics, 114(1), 29-72. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Другие названияBayesian IV, Bayesian 2SLS, Bayesian LIML, BayesIVdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Связанные65
СводкаBayesian Instrumental Variables combines the instrumental variable strategy for addressing endogeneity with Bayesian posterior inference. Instead of relying on asymptotic sampling distributions, it places prior distributions over all structural parameters and recovers a full posterior distribution for the causal effect, providing probability statements about the parameter rather than p-values — especially valuable when instruments are weak or the sample is small.Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Bayesian Instrumental Variables · Difference-in-Differences. Получено 2026-06-15 из https://scholargate.app/ru/compare