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ARDL境界テスト(Pesaran境界テスト)×非線形自己回帰分布ラグ (NARDL) モデル×
分野計量経済学計量経済学
系統Regression modelRegression model
提唱年20012014
提唱者Pesaran, Shin & SmithShin, Yu & Greenwood-Nimmo
種類Cointegration test / Autoregressive distributed lag modelAsymmetric cointegration / error-correction 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 ↗Shin, Y., Yu, B. & Greenwood-Nimmo, M. (2014). Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework. In: Sickles, R. & Horrace, W. (Eds.), Festschrift in Honor of Peter Schmidt. Springer. DOI ↗
別名Pesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)nonlinear ARDL, asymmetric ARDL, Doğrusal Olmayan ARDL (NARDL)
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.The NARDL model, introduced by Shin, Yu and Greenwood-Nimmo in 2014, extends the ARDL framework to capture asymmetric long-run and short-run relationships, testing whether positive and negative changes in a regressor affect the dependent variable differently.
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ScholarGate手法を比較: ARDL Bounds Test · NARDL Model. 2026-06-17に以下より取得 https://scholargate.app/ja/compare