Сравнение методов

	Робастный метод разностей GMM	Динамическая панельная модель
Область	Эконометрика	Эконометрика
Семейство	Regression model	Regression model
Год появления	1991 / 2005	1988–1991
Автор метода	Arellano & Bond (1991); robust inference extension via Windmeijer (2005)	Arellano & Bond (1991); Holtz-Eakin, Newey & Rosen (1988)
Тип	GMM estimator with robust standard errors	Dynamic regression / GMM estimation
Основополагающий источник	Arellano, 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.	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.
Другие названия	robust Arellano-Bond estimator, difference GMM with robust SE, HAC difference GMM, AB-GMM robust	dynamic panel model, panel data model with lagged dependent variable, DPD model, Arellano-Bond model
Связанные	6	5
Сводка	Robust Difference GMM applies the Arellano-Bond first-difference GMM estimator with heteroscedasticity- and autocorrelation-consistent (HAC) or Windmeijer-corrected standard errors, delivering valid inference for dynamic panel models even when error variances are non-constant or residuals are cross-sectionally correlated.	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.