ScholarGate
Pembantu

Bandingkan kaedah

Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.

Model Pembetulan Ralat Vektor (VECM)×Ujian Kausaliti Granger×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal19871969
PengasasRobert F. Engle and Clive W. J. GrangerClive W. J. Granger
JenisMultivariate time-series modelCausality test (F-test on VAR)
Sumber perintisEngle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424–438. DOI ↗
AliasVECM, error correction VAR, cointegrated VAR, vector equilibrium correction modelGranger test, GC test, predictive causality test, Granger non-causality test
Berkaitan55
RingkasanThe Vector Error Correction Model extends the Vector Autoregression (VAR) framework to a system of variables that share one or more long-run equilibrium relationships. It jointly models short-run dynamics and the speed at which each variable corrects back toward equilibrium after a shock, making it the standard tool for analysing cointegrated multivariate time series.The Granger causality test is a statistical hypothesis test that determines whether past values of one time series help predict future values of another, beyond what that series' own past already explains. Introduced by Clive Granger in 1969, it is the standard approach for assessing predictive causality in VAR-based time-series analysis.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Pergi ke carian Muat turun slaid

ScholarGateBandingkan kaedah: Vector Error Correction Model · Granger Causality Test. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare