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Common Correlated Effects Mean Group (CCEMG) Estimator×Augmented Mean Group (AMG) Estimator×Panel-kointegrasjonstester (Pedroni, Kao, Westerlund)×
FagfeltØkonometriØkonometriØkonometri
FamilieRegression modelRegression modelRegression model
Opprinnelsesår200620102004
OpphavspersonM. Hashem PesaranEberhardt & Teal; Bond & EberhardtPedroni; Kao; Westerlund
TypeHeterogeneous panel estimatorHeterogeneous panel data estimatorPanel cointegration test
Opprinnelig kildePesaran, M. H. (2006). Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure. Econometrica, 74(4), 967-1012. DOI ↗Eberhardt, M. & Teal, F. (2010). Productivity Analysis in Global Manufacturing Production. Economics Series Working Papers, No. 515, University of Oxford. link ↗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 ↗
Aliascommon correlated effects, CCE, CCEMG, Pesaran CCE estimatorAMG estimator, augmented mean group, Artırılmış Ortalama Grup Tahmincisi (AMG)Pedroni cointegration test, Kao cointegration test, Westerlund cointegration test, panel long-run equilibrium tests
Relaterte443
SammendragThe 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.The 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.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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ScholarGateSammenlign metoder: CCEMG Estimator · Augmented Mean Group Estimator · Panel Cointegration Tests. Hentet 2026-06-19 fra https://scholargate.app/no/compare