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Kointegracijski test (Johansen / Engle-Granger)×Regresija običnih najmanjih kvadrata (OLS)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19882019
TvoracEngle & Granger (1987); Johansen (1988)Wooldridge (textbook treatment); classical least squares
VrstaTime-series cointegration testLinear regression
Temeljni izvorJohansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. DOI ↗Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
Drugi naziviJohansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
Srodne55
SažetakThe cointegration test examines whether non-stationary time series that each contain a unit root share a stable long-run equilibrium relationship. The single-equation residual approach was introduced by Engle and Granger (1987) and the system-based rank approach by Johansen (1988).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).
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ScholarGateUsporedite metode: Cointegration Test · OLS Regression. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare