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Augmented Mean Group (AMG) skattare×Common Correlated Effects Mean Group (CCEMG) skattare×Panelkointegrationstester (Pedroni, Kao, Westerlund)×
ÄmnesområdeEkonometriEkonometriEkonometri
FamiljRegression modelRegression modelRegression model
Ursprungsår201020062004
UpphovspersonEberhardt & Teal; Bond & EberhardtM. Hashem PesaranPedroni; Kao; Westerlund
TypHeterogeneous panel data estimatorHeterogeneous panel estimatorPanel cointegration test
UrsprungskällaEberhardt, M. & Teal, F. (2010). Productivity Analysis in Global Manufacturing Production. Economics Series Working Papers, No. 515, University of Oxford. link ↗Pesaran, M. H. (2006). Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure. Econometrica, 74(4), 967-1012. DOI ↗Pedroni, P. (2004). Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis. Econometric Theory, 20(3), 597–625. DOI ↗
AliasAMG estimator, augmented mean group, Artırılmış Ortalama Grup Tahmincisi (AMG)common correlated effects, CCE, CCEMG, Pesaran CCE estimatorPedroni cointegration test, Kao cointegration test, Westerlund cointegration test, panel long-run equilibrium tests
Närliggande443
SammanfattningThe Augmented Mean Group estimator, developed by Eberhardt and Teal (2010), is a panel data method for estimating heterogeneous slope coefficients in the presence of cross-sectional dependence. It approximates the unobserved common dynamic process driving all units and folds it into unit-by-unit regressions, then averages the results.The Common Correlated Effects Mean Group estimator, introduced by Pesaran in 2006, is a heterogeneous panel-data estimator that controls for cross-sectional dependence by approximating unobserved common factors with the cross-section averages of the variables. It remains consistent when the slope coefficients differ across units.Panel cointegration tests check whether a set of integrated variables share a stable long-run equilibrium relationship across a panel of cross-sectional units. Pedroni (1999, 2004) provides heterogeneous-panel tests with seven statistics, Kao (1999) gives an ADF-based homogeneous-panel test, and Westerlund (2007) adds error-correction-based tests robust to structural breaks and cross-sectional dependence.
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ScholarGateJämför metoder: Augmented Mean Group Estimator · CCEMG Estimator · Panel Cointegration Tests. Hämtad 2026-06-19 från https://scholargate.app/sv/compare