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ARDL Bounds Test (Pesaran Bounds Test)×Odhadovač společných korelovaných efektů metodou střední skupiny (CCEMG)×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku20012006
TvůrcePesaran, Shin & SmithM. Hashem Pesaran
TypCointegration test / Autoregressive distributed lag modelHeterogeneous panel estimator
Původní zdrojPesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics, 16(3), 289–326. DOI ↗Pesaran, M. H. (2006). Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure. Econometrica, 74(4), 967-1012. DOI ↗
Další názvyPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)common correlated effects, CCE, CCEMG, Pesaran CCE estimator
Příbuzné44
ShrnutíThe ARDL bounds test is an autoregressive distributed lag method that tests for a cointegrating (long-run level) relationship between time series, introduced by Pesaran, Shin and Smith in 2001. Unlike the Johansen procedure, it remains valid whether the variables are I(0), I(1) or a mix of the two, and it is more reliable than Johansen in small samples of roughly 30 to 80 observations.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.
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ScholarGatePorovnat metody: ARDL Bounds Test · CCEMG Estimator. Získáno 2026-06-20 z https://scholargate.app/cs/compare