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時間変動パラメータNARDL (TVP-NARDL)×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2019 (TVP extension); 2014 (NARDL base)2001
提唱者Bagnai & Ospina-Rojas (TVP extension); NARDL base by Shin, Yu & Greenwood-NimmoPesaran, Shin & Smith
種類Nonlinear time-series model with time-varying coefficientsCointegration 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. Horrace & R. Sickles (Eds.), Festschrift in Honor of Peter Schmidt (pp. 281–314). Springer. link ↗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TVP-NARDL, time-varying NARDL, rolling NARDL, dynamic asymmetric ARDLPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)
関連34
概要The Time-Varying Parameter NARDL (TVP-NARDL) model extends the Nonlinear ARDL framework by allowing the coefficients on positive and negative partial sums of a regressor to change over time. This combination captures both asymmetric responses and structural instability in long-run and short-run relationships within a single cointegrating specification.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: Time-varying parameter NARDL · ARDL Bounds Test. 2026-06-17に以下より取得 https://scholargate.app/ja/compare