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Estymator GMM Arellano-Bonda ze zmiennymi w czasie parametrami×Model wektora autoregresji z parametrami zmiennymi w czasie (TVP-VAR)×
DziedzinaEkonometriaEkonometria
RodzinaRegression modelRegression model
Rok powstania1990s-2000s2005
TwórcaExtension of Arellano & Bond (1991); TVP generalisation developed in panel econometrics literaturePrimiceri (2005); Cogley & Sargent (2001, 2005)
TypDynamic panel GMM with time-varying coefficientsMultivariate time-series model with drifting coefficients
Źródło pierwotneArellano, 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 ↗Primiceri, G. E. (2005). Time varying structural vector autoregressions and monetary policy. Review of Economic Studies, 72(3), 821-852. DOI ↗
Inne nazwyTVP Arellano-Bond GMM, TVP-AB GMM, time-varying coefficient dynamic panel GMM, state-space Arellano-Bond estimatorTVP-VAR, time-varying VAR, TV-VAR, drifting-coefficient VAR
Pokrewne66
PodsumowanieThe 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 Time-Varying Parameter VAR (TVP-VAR) model extends the standard vector autoregression by allowing the coefficients and error covariances to evolve gradually over time. Estimated via Bayesian methods and MCMC simulation, it captures how dynamic relationships between macroeconomic or financial variables shift across different economic regimes without requiring pre-specified break points.
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