ScholarGate
Asistente

Comparar métodos

Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.

Estimador de Efectos Comunes Correlacionados de Grupo Medio (CCEMG)×Pruebas de cointegración de panel (Pedroni, Kao, Westerlund)×
CampoEconometríaEconometría
FamiliaRegression modelRegression model
Año de origen20062004
Autor originalM. Hashem PesaranPedroni; Kao; Westerlund
TipoHeterogeneous panel estimatorPanel cointegration test
Fuente 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 ↗
Aliascommon correlated effects, CCE, CCEMG, Pesaran CCE estimatorPedroni cointegration test, Kao cointegration test, Westerlund cointegration test, panel long-run equilibrium tests
Relacionados43
ResumenThe 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.
ScholarGateConjunto de datos
  1. v1
  2. 1 Fuentes
  3. PUBLISHED
  1. v1
  2. 2 Fuentes
  3. PUBLISHED

Ir a la búsqueda Descargar diapositivas

ScholarGateComparar métodos: CCEMG Estimator · Panel Cointegration Tests. Recuperado el 2026-06-18 de https://scholargate.app/es/compare