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Testul de Causalitate Granger pe Panouri×Testul de Limite ARDL pentru Panouri×
DomeniuEconometrieEconometrie
FamilieRegression modelRegression model
Anul apariției1988–20122001
Autorul originalHoltz-Eakin, Newey & Rosen (1988); Dumitrescu & Hurlin (2012)Pesaran, Shin & Smith
TipCausality testBounds test for cointegration
Sursa seminalăDumitrescu, E.-I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460. DOI ↗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. DOI ↗
Denumiri alternativepanel causality test, Dumitrescu-Hurlin test, heterogeneous panel causality, panel Granger testPanel ARDL, Panel bounds testing, Panel ARDL cointegration, Panel PSS bounds test
Înrudite56
RezumatThe Panel Granger Causality test examines whether past values of one variable help predict another variable across multiple cross-sectional units observed over time. It extends the classical Granger causality framework to panel data, accounting for cross-sectional heterogeneity and enabling more powerful inference by pooling information across units.The Panel ARDL Bounds Test extends the Pesaran, Shin and Smith (2001) bounds testing procedure to panel data, allowing researchers to test for long-run cointegrating relationships between variables without requiring all series to be integrated of the same order. It is widely used in macro-panel studies where variables may be I(0), I(1), or a mixture of both.
ScholarGateSet de date
  1. v1
  2. 2 Surse
  3. PUBLISHED
  1. v1
  2. 2 Surse
  3. PUBLISHED

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ScholarGateCompară metode: Panel Granger Causality · Panel ARDL Bounds Test. Preluat la 2026-06-18 de pe https://scholargate.app/ro/compare