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Tijdsvariërende Parameter Arellano-Bond GMM×Dynamisch paneeldatamodel×
VakgebiedEconometrieEconometrie
FamilieRegression modelRegression model
Jaar van ontstaan1990s-2000s1988–1991
GrondleggerExtension of Arellano & Bond (1991); TVP generalisation developed in panel econometrics literatureArellano & Bond (1991); Holtz-Eakin, Newey & Rosen (1988)
TypeDynamic panel GMM with time-varying coefficientsDynamic regression / GMM estimation
Oorspronkelijke bronArellano, 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. DOI ↗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. DOI ↗
AliassenTVP Arellano-Bond GMM, TVP-AB GMM, time-varying coefficient dynamic panel GMM, state-space Arellano-Bond estimatordynamic panel model, panel data model with lagged dependent variable, DPD model, Arellano-Bond model
Verwant65
SamenvattingThe 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.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.
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ScholarGateMethoden vergelijken: Time-varying parameter Arellano-Bond GMM · Dynamic Panel Data Model. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare