Сравнение методов

	Системный ОММ с изменяющимися во времени параметрами	Системный GMM для панельных данных (оценщик Бланделла-Бонда)
Область	Эконометрика	Эконометрика
Семейство	Regression model	Regression model
Год появления	1998 (System GMM); TVP extensions in applied literature thereafter	1998
Автор метода	Blundell & Bond (System GMM base); Cooley & Prescott (TVP framework)	Blundell & Bond (1998); Arellano & Bover (1995)
Тип	Dynamic panel estimator with time-varying coefficients	GMM estimator for dynamic panel data
Основополагающий источник	Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143.	Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143.
Другие названия	TVP System GMM, time-varying System GMM, TVP-SGMM, dynamic panel TVP estimator	System GMM, Blundell-Bond estimator, SYS-GMM, two-step System GMM
Связанные	6	6
Сводка	Time-Varying Parameter System GMM extends the Blundell-Bond System Generalized Method of Moments estimator to allow regression coefficients to change over time. By combining the instrument-based correction for dynamic endogeneity with a time-varying coefficient structure, the method captures both the persistence of the lagged dependent variable and structural shifts in the effect of regressors across periods.	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.