ScholarGate
Asistent

Uporedite metode

Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.

Panel Grangerov test kauzalnosti×Granični test Panel ARDL×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1988–20122001
TvoracHoltz-Eakin, Newey & Rosen (1988); Dumitrescu & Hurlin (2012)Pesaran, Shin & Smith
TipCausality testBounds test for cointegration
Temeljni izvorDumitrescu, 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 ↗
Drugi nazivipanel causality test, Dumitrescu-Hurlin test, heterogeneous panel causality, panel Granger testPanel ARDL, Panel bounds testing, Panel ARDL cointegration, Panel PSS bounds test
Srodne56
SažetakThe 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.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretragu Preuzmi slajdove

ScholarGateUporedite metode: Panel Granger Causality · Panel ARDL Bounds Test. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare