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Динамични панели с времево променящи се параметри по метода на Арeлано-Бонд GMM×Системният GMM за панелни данни (оценител на Блъндел-Бонд)×
ОбластИконометрияИконометрия
СемействоRegression modelRegression model
Година на възникване1990s-2000s1998
СъздателExtension of Arellano & Bond (1991); TVP generalisation developed in panel econometrics literatureBlundell & Bond (1998); Arellano & Bover (1995)
ТипDynamic panel GMM with time-varying coefficientsGMM estimator for dynamic panel data
Основополагащ източникArellano, 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 ↗Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗
Други названияTVP Arellano-Bond GMM, TVP-AB GMM, time-varying coefficient dynamic panel GMM, state-space Arellano-Bond estimatorSystem GMM, Blundell-Bond estimator, SYS-GMM, two-step System GMM
Свързани66
РезюмеThe 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.Panel System GMM is a two-equation GMM estimator for dynamic panel data that stacks the differenced equation (using lagged levels as instruments) with the levels equation (using lagged differences as instruments). Developed by Blundell and Bond (1998) on the foundation of Arellano and Bover (1995), it is the preferred tool when the lagged dependent variable is highly persistent or individual effects are large.
ScholarGateНабор от данни
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ScholarGateСравнение на методи: Time-varying parameter Arellano-Bond GMM · Panel System GMM. Извлечено на 2026-06-19 от https://scholargate.app/bg/compare