Comparer des méthodes

	Estimateur GMM d'Arellano-Bond à paramètres variant dans le temps	Estimateur GMM systémique (Estimateur de Blundell-Bond)
Domaine	Économétrie	Économétrie
Famille	Regression model	Regression model
Année d'origine	1990s-2000s	1998
Auteur d'origine	Extension of Arellano & Bond (1991); TVP generalisation developed in panel econometrics literature	Blundell & Bond (1998); Arellano & Bover (1995)
Type	Dynamic panel GMM with time-varying coefficients	GMM estimator for dynamic panel data
Source fondatrice	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.	Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143.
Alias	TVP Arellano-Bond GMM, TVP-AB GMM, time-varying coefficient dynamic panel GMM, state-space Arellano-Bond estimator	System GMM, Blundell-Bond estimator, SYS-GMM, two-step System GMM
Apparentées	6	6
Résumé	The 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.