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Разностный GMM с структурными разрывами×Оценщик метода обобщенных моментов (GMM) по Аррельяно-Бонду×
ОбластьЭконометрикаЭконометрика
СемействоRegression modelRegression model
Год появления1991 / 19981991
Автор методаArellano & Bond (Difference GMM); Bai & Perron (structural break testing)Manuel Arellano and Stephen Bond
ТипDynamic panel estimator with structural breaksGMM estimator for dynamic panel data
Основополагающий источникArellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277–297. 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 названияDifference GMM with structural breaks, break-augmented Arellano-Bond GMM, dynamic panel GMM with regime shifts, structural change Difference GMMAB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator
Связанные65
СводкаStructural Break Difference GMM extends the Arellano-Bond first-difference GMM estimator to dynamic panel settings where the data-generating process shifts at one or more unknown breakpoints. By explicitly incorporating break indicators or allowing regime-specific parameters, the estimator avoids the biased coefficient and invalid moment conditions that arise when a structural change is ignored in a standard Difference GMM fit.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.
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  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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