Comparer des méthodes

	Difference GMM à rupture structurelle	Analyse des données de panel avec ruptures structurelles
Domaine	Économétrie	Économétrie
Famille	Regression model	Regression model
Année d'origine	1991 / 1998	1998-2010
Auteur d'origine	Arellano & Bond (Difference GMM); Bai & Perron (structural break testing)	Bai & Perron (1998); extended to panels by Bai (2010) and Joseph et al.
Type	Dynamic panel estimator with structural breaks	Panel time-series model with regime shifts
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.	Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78.
Alias	Difference GMM with structural breaks, break-augmented Arellano-Bond GMM, dynamic panel GMM with regime shifts, structural change Difference GMM	panel structural break test, break-point panel model, panel change-point analysis, regime-shift panel analysis
Apparentées	6	4
Résumé	Structural Break Difference GMM extends the Arellano-Bond first-difference GMM estimator to dynamic panel settings where the data-generating process shifts at one or more unknown breakpoints. By explicitly incorporating break indicators or allowing regime-specific parameters, the estimator avoids the biased coefficient and invalid moment conditions that arise when a structural change is ignored in a standard Difference GMM fit.	Structural break panel data analysis detects and estimates points in time — break dates — where the underlying regression coefficients shift permanently across a panel of cross-sectional units observed over multiple periods. By jointly exploiting cross-sectional and time-series variation, it offers sharper identification of regime shifts than single-series break tests, and it delivers separate coefficient estimates for each regime before and after each break.