NARDL Bayesian: ARDL Nonlinear dengan Anggaran Bayesian
NARDL Bayesian menggabungkan rangka kerja Pesataran Lag Teragih Auto-regresif Nonlinear (Nonlinear Autoregressive Distributed Lag - NARDL) oleh Shin, Yu, dan Greenwood-Nimmo (2014) dengan inferens posterior Bayesian. Ia memodelkan kointegrasi jangka panjang asimetri — membenarkan kejutan positif dan negatif kepada pembolehubah penentu mempunyai kesan keseimbangan yang berbeza — sambil menggabungkan pengetahuan terdahulu dan menghasilkan taburan posterior penuh ke atas semua parameter, termasuk jurang asimetri.
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Method map
The neighbourhood of related methods — select a node to explore.
Sumber
- Shin, 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 ↗
- Koop, G. (2003). Bayesian Econometrics. Wiley. ISBN: 978-0470845677
Cara memetik halaman ini
ScholarGate. (2026, June 3). Bayesian Nonlinear Autoregressive Distributed Lag Model. ScholarGate. https://scholargate.app/ms/econometrics/bayesian-nardl
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Penganggar GMM Arellano-BondEkonometrik↔ compare
- Ujian Had Bayesian ARDLEkonometrik↔ compare
- Model Pembetulan Ralat Vektor Bayesian (Bayesian VECM)Ekonometrik↔ compare
- Model ARDL Taklinear (NARDL)Ekonometrik↔ compare
- Model Lag Teragih Autoregresif Tak Linear Panel (Panel NARDL)Ekonometrik↔ compare
- Model Pembetulan Ralat Vektor (VECM)Ekonometrik↔ compare
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