Compară metode

	GMM Fourier Arellano-Bond	Modelul de date de panel dinamic
Domeniu	Econometrie	Econometrie
Familie	Regression model	Regression model
Anul apariției	2010s	1988–1991
Autorul original	Extension of Arellano & Bond (1991) with Fourier flexible form augmentation	Arellano & Bond (1991); Holtz-Eakin, Newey & Rosen (1988)
Tip	Dynamic panel GMM estimator with smooth structural break accommodation	Dynamic regression / GMM estimation
Sursa seminală	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.
Denumiri alternative	Fourier AB-GMM, Fourier first-differenced GMM, Fourier dynamic panel GMM, Fourier-extended Arellano-Bond estimator	dynamic panel model, panel data model with lagged dependent variable, DPD model, Arellano-Bond model
Înrudite	2	5
Rezumat	Fourier Arellano-Bond GMM is a dynamic panel estimator that augments the classic Arellano-Bond first-differenced GMM framework with Fourier trigonometric terms to capture smooth, gradual structural breaks in the time dimension. It handles endogeneity through lagged-level instruments while remaining robust to unknown nonlinear trends that standard difference GMM ignores.	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.