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Estimador de Mitjana de Grup d'Efectes Correlacionats Comuns (CCEMG)×Proves de cointegració de panell (Pedroni, Kao, Westerlund)×Model d'efectes fixos per a dades de panell×
CampEconometriaEconometriaEconometria
FamíliaRegression modelRegression modelRegression model
Any d'origen200620042014
Autor originalM. Hashem PesaranPedroni; Kao; WesterlundHsiao (textbook treatment); within transformation of panel data
TipusHeterogeneous panel estimatorPanel cointegration testPanel data regression
Font seminalPesaran, 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 ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Àliescommon correlated effects, CCE, CCEMG, Pesaran CCE estimatorPedroni cointegration test, Kao cointegration test, Westerlund cointegration test, panel long-run equilibrium testsfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Relacionats435
ResumThe 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.The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
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ScholarGateCompara mètodes: CCEMG Estimator · Panel Cointegration Tests · Panel Fixed Effects. Recuperat el 2026-06-19 de https://scholargate.app/ca/compare