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GMM Арельяно-Бонда с изменяющимися во времени параметрами×Динамическая панельная модель×
ОбластьЭконометрикаЭконометрика
СемействоRegression modelRegression model
Год появления1990s-2000s1988–1991
Автор методаExtension of Arellano & Bond (1991); TVP generalisation developed in panel econometrics literatureArellano & Bond (1991); Holtz-Eakin, Newey & Rosen (1988)
ТипDynamic panel GMM with time-varying coefficientsDynamic regression / GMM estimation
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 названияTVP Arellano-Bond GMM, TVP-AB GMM, time-varying coefficient dynamic panel GMM, state-space Arellano-Bond estimatordynamic panel model, panel data model with lagged dependent variable, DPD model, Arellano-Bond model
Связанные65
СводкаThe time-varying parameter Arellano-Bond GMM (TVP-AB GMM) is a dynamic panel estimator that extends the classic Arellano-Bond difference GMM framework by allowing regression coefficients to evolve over time. It addresses both individual fixed effects and the endogeneity of lagged dependent variables, while accommodating structural change and parameter instability across the sample period.The dynamic panel data model extends standard panel regression by including a lagged value of the outcome variable as a regressor, capturing persistence and adjustment dynamics. Because the lagged dependent variable is correlated with the unit-specific fixed effect, ordinary OLS or within estimators are biased; GMM-based methods using internal instruments are the standard remedy.
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ScholarGateСравнение методов: Time-varying parameter Arellano-Bond GMM · Dynamic Panel Data Model. Получено 2026-06-18 из https://scholargate.app/ru/compare