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Modeli i Autoregresionit Vektorial (VAR)×Testet kufizash ARDL (Testet kufizash të autoregresionit me vonesë)×Regresioni me Mënyrën më të Vogël të Katrorëve (OLS)×Model i Korrigjimit të Gabimit Vektorial (VECM)×
FushaEkonometriEkonometriEkonometriEkonometri
FamiljaRegression modelRegression modelRegression modelRegression model
Viti i origjinës2005200120191987
KrijuesiLütkepohl (textbook treatment); Sims (1980) macroeconometric traditionPesaran, Shin & SmithWooldridge (textbook treatment); classical least squaresEngle & Granger
LlojiMultivariate time-series modelCointegration test / Autoregressive distributed lag modelLinear regressionMultivariate time-series model
Burimi themeluesLütkepohl, 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 ↗Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860Engle, R. F. & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251-276. DOI ↗
Emërtime të tjeravector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyonPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonuvector error correction model, error correction model, cointegration model, VECM (Vektör Hata Düzeltme Modeli)
Të lidhura4454
PërmbledhjaVector 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.Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).The Vector Error Correction Model is a multivariate time-series model for cointegrated series that captures both their short-run dynamics and their long-run equilibrium relationship. It was introduced by Engle and Granger in 1987 as part of the cointegration and error-correction framework.
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ScholarGateKrahasoni metodat: VAR Model · ARDL Bounds Test · OLS Regression · VECM. Marrë më 2026-06-19 nga https://scholargate.app/sq/compare