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Model vektorske autoregresije (VAR)×ARDL test granica (Pesaran test granica)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka20052001
TvoracLütkepohl (textbook treatment); Sims (1980) macroeconometric traditionPesaran, Shin & Smith
TipMultivariate time-series modelCointegration test / Autoregressive distributed lag model
Temeljni izvorLütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. 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 nazivivector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyonPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)
Srodne44
SažetakVector Autoregression is a multivariate time-series model that treats several interdependent series symmetrically, letting each variable depend on its own past values and the past values of all the others. It is the standard tool for capturing mutual causality and joint dynamics, developed in the modern multiple-time-series tradition treated by Lütkepohl (2005).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.
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ScholarGateUporedite metode: VAR Model · ARDL Bounds Test. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare