Comparar métodos

	Modelo robusto de datos de panel dinámico	Modelo de datos de panel dinámico
Campo	Econometría	Econometría
Familia	Regression model	Regression model
Año de origen	1991–2005	1988–1991
Autor original	Arellano & Bond (1991); robust extension via Windmeijer (2005)	Arellano & Bond (1991); Holtz-Eakin, Newey & Rosen (1988)
Tipo	Dynamic panel estimator with robust inference	Dynamic regression / GMM estimation
Fuente seminal	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.	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.
Alias	robust dynamic panel, heteroscedasticity-robust dynamic panel, robust GMM dynamic panel, dynamic panel with robust standard errors	dynamic panel model, panel data model with lagged dependent variable, DPD model, Arellano-Bond model
Relacionados	5	5
Resumen	The robust dynamic panel data model combines the dynamic panel GMM framework — which handles endogeneity from lagged dependent variables and unobserved heterogeneity — with robust covariance estimation that remains valid under heteroscedasticity and serial correlation. The Windmeijer finite-sample correction is the standard robust adjustment applied to two-step GMM estimators in this setting.	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.