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Model Regresi Autoruang (VAR)×Model Pembetulan Ralat Vektor (VECM)×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal20051987
PengasasLütkepohl (textbook treatment); Sims (1980) macroeconometric traditionEngle & Granger
JenisMultivariate time-series modelMultivariate time-series model
Sumber perintisLütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. DOI ↗Engle, R. F. & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251-276. DOI ↗
Aliasvector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyonvector error correction model, error correction model, cointegration model, VECM (Vektör Hata Düzeltme Modeli)
Berkaitan44
RingkasanVector 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 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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ScholarGateBandingkan kaedah: VAR Model · VECM. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare