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。

ARDL境界テスト(Pesaran境界テスト)×ベクトル自己回帰(VAR)モデル×
分野計量経済学計量経済学
系統Regression modelRegression model
提唱年20012005
提唱者Pesaran, Shin & SmithLütkepohl (textbook treatment); Sims (1980) macroeconometric tradition
種類Cointegration test / Autoregressive distributed lag modelMultivariate time-series model
原典Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics, 16(3), 289–326. DOI ↗Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. DOI ↗
別名Pesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)vector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyon
関連44
概要The ARDL bounds test is an autoregressive distributed lag method that tests for a cointegrating (long-run level) relationship between time series, introduced by Pesaran, Shin and Smith in 2001. Unlike the Johansen procedure, it remains valid whether the variables are I(0), I(1) or a mix of the two, and it is more reliable than Johansen in small samples of roughly 30 to 80 observations.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. 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: ARDL Bounds Test · VAR Model. 2026-06-18に以下より取得 https://scholargate.app/ja/compare