Methoden vergelijken

	Structurele Breuk Verschil GMM	Dynamisch paneeldatamodel
Vakgebied	Econometrie	Econometrie
Familie	Regression model	Regression model
Jaar van ontstaan	1991 / 1998	1988–1991
Grondlegger	Arellano & Bond (Difference GMM); Bai & Perron (structural break testing)	Arellano & Bond (1991); Holtz-Eakin, Newey & Rosen (1988)
Type	Dynamic panel estimator with structural breaks	Dynamic regression / GMM estimation
Oorspronkelijke bron	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.
Aliassen	Difference GMM with structural breaks, break-augmented Arellano-Bond GMM, dynamic panel GMM with regime shifts, structural change Difference GMM	dynamic panel model, panel data model with lagged dependent variable, DPD model, Arellano-Bond model
Verwant	6	5
Samenvatting	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.	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.