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समय-परिवर्तनशील पैरामीटर NARDL (TVP-NARDL)×ARDL सीमा परीक्षण (Pesaran सीमा परीक्षण)×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष2019 (TVP extension); 2014 (NARDL base)2001
प्रवर्तकBagnai & Ospina-Rojas (TVP extension); NARDL base by Shin, Yu & Greenwood-NimmoPesaran, Shin & Smith
प्रकारNonlinear time-series model with time-varying coefficientsCointegration test / Autoregressive distributed lag model
मौलिक स्रोतShin, 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 ↗
उपनामTVP-NARDL, time-varying NARDL, rolling NARDL, dynamic asymmetric ARDLPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)
संबंधित34
सारांशThe 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.
ScholarGateडेटासेट
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  3. PUBLISHED
  1. v1
  2. 2 स्रोत
  3. PUBLISHED

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