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फूरियर एआरडीएल सीमा परीक्षण×गैर-रेखीय एआरडीएल (NARDL) मॉडल×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष2001-20212014
प्रवर्तकPesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authorsShin, Yu & Greenwood-Nimmo
प्रकारCointegration / bounds testNonlinear cointegration model
मौलिक स्रोतNazlioglu, S., Gormus, A., & Soytas, U. (2021). Oil prices and monetary policy in emerging markets: structural breaks, asymmetries, and Fourier approximations. Energy Economics, 95, 105119. link ↗Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (pp. 281–314). Springer. link ↗
उपनामFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration testNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model
संबंधित55
सारांशThe Fourier ARDL bounds test augments the Pesaran-Shin-Smith cointegration framework with trigonometric (Fourier) terms that capture gradual, smooth structural breaks in the data-generating process. It tests for a long-run level relationship between variables without requiring the researcher to specify the number, timing, or form of structural breaks in advance.The Nonlinear ARDL (NARDL) model extends the linear ARDL bounds-testing framework to allow asymmetric long-run and short-run relationships. By decomposing the regressor into cumulative positive and negative partial sums, it tests whether increases and decreases in a variable exert different effects on the outcome — a feature especially relevant in financial and energy economics where positive and negative shocks rarely cancel out symmetrically.
ScholarGateडेटासेट
  1. v1
  2. 2 स्रोत
  3. PUBLISHED
  1. v1
  2. 2 स्रोत
  3. PUBLISHED

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ScholarGateविधियों की तुलना करें: Fourier ARDL Bounds Test · Nonlinear ARDL. 2026-06-19 को यहाँ से प्राप्त https://scholargate.app/hi/compare