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非線形ARDL (NARDL) 限界検定×ARDL境界テスト(Pesaran境界テスト)×
分野計量経済学計量経済学
系統Regression modelRegression model
提唱年20142001
提唱者Shin, Yu, and Greenwood-NimmoPesaran, Shin & Smith
種類Asymmetric cointegration testCointegration test / Autoregressive distributed lag model
原典Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In W. C. Horrace & R. C. Sickles (Eds.), Festschrift in Honor of Peter Schmidt (pp. 281-314). Springer. DOI ↗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 ↗
別名NARDL, asymmetric ARDL, nonlinear bounds testing approach, NARDL bounds testingPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)
関連14
概要The Nonlinear ARDL bounds test, developed by Shin, Yu, and Greenwood-Nimmo (2014), extends the linear ARDL framework to detect asymmetric long-run relationships in time series. By decomposing a regressor into positive and negative partial sums, NARDL simultaneously tests for cointegration and estimates separate long-run effects for increases and decreases — without requiring all variables to be integrated of the same order.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.
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ScholarGate手法を比較: Nonlinear ARDL bounds test · ARDL Bounds Test. 2026-06-18に以下より取得 https://scholargate.app/ja/compare