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Structural Break NARDL×Mitte lineaarne ARDL (NARDL) mudel×
ValdkondÖkonomeetriaÖkonomeetria
PerekondRegression modelRegression model
Tekkeaasta2014–20182014
LoojaShin, Yu & Greenwood-Nimmo (NARDL base); structural break extensions by subsequent applied researchersShin, Yu & Greenwood-Nimmo
TüüpNonlinear cointegration with structural breaksNonlinear cointegration model
AlgallikasShin, 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 ↗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 ↗
RööpnimetusedSB-NARDL, NARDL with structural breaks, nonlinear ARDL with break, asymmetric ARDL structural breakNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model
Seotud65
KokkuvõteStructural Break NARDL extends the Nonlinear Autoregressive Distributed Lag (NARDL) bounds-testing framework by explicitly accommodating one or more structural breaks in the long-run relationship. It separates positive and negative changes in the regressor, tests for cointegration, and allows regime shifts, providing a richer picture of asymmetric and break-sensitive dynamics between variables.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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ScholarGateVõrdle meetodeid: Structural Break NARDL · Nonlinear ARDL. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare