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Bayesian NARDL

Bayesian 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.

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Bayesian Nonlinear Autoregressive Distributed Lag Model

Taxonomický záznam metódy · regression-model / econometrics

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. · URL
Koop, G. (2003). Bayesian Econometrics. Wiley. · ISBN 978-0470845677

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Taxonomic bucketArellano-Bond GMM estimatormachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian ARDL Bounds Testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian VECMmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketNonlinear ARDLmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel NARDLmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketVector Error Correction Modelmachine-suggested · Relational suggestion, not evidence.