ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

Granger因果性検定×ベクトル誤差修正モデル(VECM)×
分野計量経済学計量経済学
系統Regression modelRegression model
提唱年19691987
提唱者Clive W. J. GrangerEngle & Granger
種類Time-series predictive causality testMultivariate time-series model
原典Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗Engle, R. F. & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251-276. DOI ↗
別名Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testivector error correction model, error correction model, cointegration model, VECM (Vektör Hata Düzeltme Modeli)
関連54
概要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.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.
ScholarGateデータセット
  1. v1
  2. 1 出典
  3. PUBLISHED
  1. v1
  2. 1 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Granger Causality · VECM. 2026-06-17に以下より取得 https://scholargate.app/ja/compare