ScholarGate
Assistent

Jämför metoder

Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.

Johansen / Engle-Granger kointegrationstest×Granger kausalitetstest×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår19881969
UpphovspersonEngle & Granger (1987); Johansen (1988)Clive W. J. Granger
TypTime-series cointegration testTime-series predictive causality test
UrsprungskällaJohansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. DOI ↗Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗
AliasJohansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi
Närliggande55
SammanfattningThe 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).The Granger causality test, introduced by Clive W. J. Granger in 1969, assesses whether the past values of one time series help predict another beyond what the latter's own past already explains. It defines causality in a strictly predictive sense rather than as a structural or physical cause.
ScholarGateDatamängd
  1. v1
  2. 2 Källor
  3. PUBLISHED
  1. v1
  2. 1 Källor
  3. PUBLISHED

Gå till sökningen Ladda ner bildspel

ScholarGateJämför metoder: Cointegration Test · Granger Causality. Hämtad 2026-06-17 från https://scholargate.app/sv/compare