ScholarGate
Assistent

Compara mètodes

Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.

Prova de límits del Panell ARDL×Model ARDL no lineal (NARDL)×
CampEconometriaEconometria
FamíliaRegression modelRegression model
Any d'origen20012014
Autor originalPesaran, Shin & SmithShin, Yu & Greenwood-Nimmo
TipusBounds test for cointegrationNonlinear cointegration model
Font seminalPesaran, 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 ↗
ÀliesPanel ARDL, Panel bounds testing, Panel ARDL cointegration, Panel PSS bounds testNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model
Relacionats65
ResumThe Panel ARDL Bounds Test extends the Pesaran, Shin and Smith (2001) bounds testing procedure to panel data, allowing researchers to test for long-run cointegrating relationships between variables without requiring all series to be integrated of the same order. It is widely used in macro-panel studies where variables may be I(0), I(1), or a mixture of both.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.
ScholarGateConjunt de dades
  1. v1
  2. 2 Fonts
  3. PUBLISHED
  1. v1
  2. 2 Fonts
  3. PUBLISHED

Ves a la cerca Baixa les diapositives

ScholarGateCompara mètodes: Panel ARDL Bounds Test · Nonlinear ARDL. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare