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Test granica ARDL sa vremenski promenljivim parametrima×Nelinearni model ARDL (NARDL)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka2010s2014
TvoracExtension of Pesaran, Shin & Smith (2001); TVP variant developed in applied time-series literature ca. 2010sShin, Yu & Greenwood-Nimmo
TipCointegration / bounds test with time-varying coefficientsNonlinear cointegration model
Temeljni izvorPesaran, 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 R. C. Sickles & W. C. Horrace (Eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (pp. 281–314). Springer. link ↗
Drugi naziviTVP-ARDL bounds test, time-varying ARDL cointegration, TVP bounds testing approach, dynamic ARDL bounds testNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model
Srodne25
SažetakThe time-varying parameter ARDL bounds test extends the classic Pesaran-Shin-Smith (2001) bounds testing framework by allowing regression coefficients to evolve continuously over time. It detects whether a long-run cointegrating relationship between variables exists and whether that relationship has been stable or shifting across the sample period.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.
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ScholarGateUporedite metode: Time-varying parameter ARDL bounds test · Nonlinear ARDL. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare