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NARDL Bayesian: ARDL neliniar cu estimare Bayesiană×Modelul ARDL neliniar (NARDL)×
DomeniuEconometrieEconometrie
FamilieRegression modelRegression model
Anul apariției2014 (NARDL); Bayesian extension c. 2015–20202014
Autorul originalShin, Yu & Greenwood-Nimmo (NARDL base); Bayesian extension developed in subsequent applied literatureShin, Yu & Greenwood-Nimmo
TipNonlinear cointegrating model with Bayesian inferenceNonlinear cointegration model
Sursa seminalăShin, 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: Econometric Methods and Applications (pp. 281–314). Springer. 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 ↗
Denumiri alternativeBayesian NARDL, Bayesian nonlinear ARDL, Bayesian asymmetric ARDL, B-NARDLNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model
Înrudite65
RezumatBayesian NARDL combines the Nonlinear Autoregressive Distributed Lag framework of Shin, Yu, and Greenwood-Nimmo (2014) with Bayesian posterior inference. It models asymmetric long-run cointegration — allowing positive and negative shocks to a regressor to have different equilibrium effects — while incorporating prior knowledge and producing full posterior distributions over all parameters, including the asymmetry gap.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.
ScholarGateSet de date
  1. v1
  2. 2 Surse
  3. PUBLISHED
  1. v1
  2. 2 Surse
  3. PUBLISHED

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ScholarGateCompară metode: Bayesian NARDL · Nonlinear ARDL. Preluat la 2026-06-17 de pe https://scholargate.app/ro/compare