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。

ロバストベクトル自己回帰(Robust VAR)モデル×パネルベクトル自己回帰(Panel VAR)×ベクトル自己回帰(VAR)モデル×
分野計量経済学計量経済学計量経済学
系統Regression modelRegression modelRegression model
提唱年1980s–2000s19882005
提唱者Extensions by Lutkepohl and others building on Sims (1980) VAR frameworkHoltz-Eakin, Newey & RosenLütkepohl (textbook treatment); Sims (1980) macroeconometric tradition
種類Multivariate time-series model with robust estimationPanel vector autoregressionMultivariate time-series model
原典Goncalves, S., & Kilian, L. (2004). Bootstrapping autoregressions with conditional heteroskedasticity of unknown form. Journal of Econometrics, 123(1), 89-120. DOI ↗Holtz-Eakin, D., Newey, W. & Rosen, H. S. (1988). Estimating Vector Autoregressions with Panel Data. Econometrica, 56(6), 1371-1395. DOI ↗Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. DOI ↗
別名robust VAR, outlier-robust VAR, heavy-tailed VAR, RVARPVAR, panel vector autoregression, Panel VAR (PVAR)vector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyon
関連534
概要The Robust VAR model extends the classical Vector Autoregression framework by replacing ordinary least squares estimation with robust estimators — such as M-estimators or median-based methods — to reduce the influence of outliers, structural breaks, and heavy-tailed shocks common in financial and macroeconomic time series.Panel VAR extends the vector autoregression model to panel data, modelling the dynamic interactions among several variables while controlling for cross-unit heterogeneity through fixed effects. It was introduced by Holtz-Eakin, Newey and Rosen in 1988 and produces impulse-response functions and variance decompositions at the panel level.Vector 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).
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 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: Robust VAR model · Panel VAR · VAR Model. 2026-06-18に以下より取得 https://scholargate.app/ja/compare