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Mittelineaarne dünaamiline paneelромуutujate mudel×Süsteem GMM (Arellano-Bover / Blundell-Bond)×
ValdkondÖkonomeetriaÖkonomeetria
PerekondRegression modelRegression model
Tekkeaasta1981-20051998
LoojaWooldridge (2005); Honore & Tamer (2006); building on Heckman (1981)Arellano & Bover (1995); Blundell & Bond (1998)
TüüpDynamic panel estimator with nonlinear responseDynamic panel data estimator
AlgallikasWooldridge, J. M. (2005). Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity. Journal of Applied Econometrics, 20(1), 39-54. 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 ↗
Rööpnimetusednonlinear dynamic panel, dynamic nonlinear panel estimator, NDPDM, nonlinear panel with lagged dependent variableArellano-Bover estimator, Blundell-Bond estimator, dynamic panel GMM, Sistem GMM (Arellano-Bover / Blundell-Bond)
Seotud34
KokkuvõteThe nonlinear dynamic panel data model extends standard panel methods to settings where the outcome is binary, count-valued, or censored and where past realizations of the outcome directly affect current ones. It handles unobserved individual heterogeneity alongside state dependence, disentangling genuine persistence from spurious persistence driven by unmeasured unit characteristics.System GMM is a generalized method of moments estimator for dynamic panel models that contain a lagged dependent variable. Introduced by Blundell and Bond (1998), building on Arellano and Bover, it augments the differenced equation of the earlier difference GMM (Arellano-Bond) with the equation in levels to deliver consistent estimates when N is large and T is small.
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ScholarGateVõrdle meetodeid: Nonlinear Dynamic Panel Data Model · System GMM. Loetud 2026-06-15 aadressilt https://scholargate.app/et/compare