COMPARISON OF MODEL AVERAGING TECHNIQUES: ASSESSING GROWTH DETERMINANTS

2012/06/11 by Shahram M. Amini, Shahram Amini, Christopher F. Parmeter · 1 citation
Economics, Econometrics and Finance · Engineering · #Climate Change Policy and Economics #Monetary Policy and Economic Impact #Water resources management and optimization

paper · doi:10.1002/jae.2288

openalex publication_date 2012/06/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/25

Abstract

SUMMARY This paper investigates the replicability of three important studies on growth theory uncertainty that employed Bayesian model averaging tools. We compare these results with estimates obtained using alternative, recently developed model averaging techniques. Overall, we successfully replicate all three studies, find that the sign and magnitude of these new estimates are reasonably close to those produced via traditional Bayesian methods and deploy a novel strategy to implement one of the new averaging estimators. Copyright © 2012 John Wiley & Sons, Ltd.

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