Comparer des méthodes

	Estimateur de groupe moyen agrégé (PMG)	Test des bornes ARDL (Test des bornes de Pesaran)
Domaine	Économétrie	Économétrie
Famille	Regression model	Regression model
Année d'origine	1999	2001
Auteur d'origine	Pesaran, Shin & Smith	Pesaran, Shin & Smith
Type	Panel cointegration estimator	Cointegration test / Autoregressive distributed lag model
Source fondatrice	Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446), 621–634.	Pesaran, 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.
Alias	PMG Estimator, Pooled Mean Group, PMG Panel Estimator, Havuzlanmış Ortalama Grup Tahmincisi	Pesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)
Apparentées	2	4
Résumé	The Pooled Mean Group (PMG) estimator, introduced by Pesaran, Shin, and Smith (1999), is a panel data technique designed for dynamic heterogeneous panels where the long-run equilibrium relationship is common across groups but short-run dynamics and error variances are allowed to differ. It is particularly suited for macro-panels with moderate N and T, such as cross-country growth, energy consumption, and financial development studies.	The 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.