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Байесовский системный GMM×Оценщик метода обобщенных моментов (GMM) по Аррельяно-Бонду×
ОбластьЭконометрикаЭконометрика
СемействоRegression modelRegression model
Год появления1998–20101991
Автор методаBlundell & Bond (System GMM, 1998); Bayesian integration via Chib and related MCMC literatureManuel Arellano and Stephen Bond
ТипBayesian dynamic panel estimatorGMM estimator for dynamic panel data
Основополагающий источникBlundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277-297. DOI ↗
Другие названияBayesian Sys-GMM, Bayesian BB estimator, Bayesian Blundell-Bond GMM, B-SGMMAB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator
Связанные55
СводкаBayesian System GMM combines the Blundell-Bond System Generalized Method of Moments estimator for dynamic panel data with Bayesian prior distributions and posterior inference via MCMC. It handles endogeneity, individual fixed effects, and weak-instrument problems while incorporating prior knowledge and delivering full posterior uncertainty quantification — not just point estimates and asymptotic standard errors.The Arellano-Bond GMM estimator is the standard approach for dynamic panel data models in which the lagged dependent variable appears as a regressor. By first-differencing to remove fixed effects and using deeper lags as instruments, it yields consistent estimates even when the error is serially correlated and regressors are endogenous.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Bayesian System GMM · Arellano-Bond GMM estimator. Получено 2026-06-19 из https://scholargate.app/ru/compare