Comparar métodos

	Modelo de datos de panel dinámico con quiebres estructurales	Estimador de Mínimos Cuadrados Generalizados (GMM) de Arellano-Bond
Campo	Econometría	Econometría
Familia	Regression model	Regression model
Año de origen	1991–1998	1991
Autor original	Bai & Perron (break detection); Arellano & Bond (dynamic panel GMM)	Manuel Arellano and Stephen Bond
Tipo	Dynamic panel model with regime change	GMM estimator for dynamic panel data
Fuente seminal	Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78.	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	dynamic panel with breaks, panel dynamic model structural change, DPDSB, panel dynamic structural break estimator	AB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator
Relacionados	6	5
Resumen	The structural break dynamic panel data model extends the standard dynamic panel framework by allowing regression coefficients or the autoregressive parameter to shift at one or more unknown break dates. It combines GMM-based dynamic panel estimation with formal structural change tests, enabling researchers to study how economic relationships evolve across distinct regimes while controlling for unobserved individual heterogeneity and endogeneity of the lagged dependent variable.	The Arellano-Bond GMM estimator is the standard approach for dynamic panel data models in which the lagged dependent variable appears as a regressor. By first-differencing to remove fixed effects and using deeper lags as instruments, it yields consistent estimates even when the error is serially correlated and regressors are endogenous.