COMPARISON OF MODEL AVERAGING TECHNIQUES: ASSESSING GROWTH DETERMINANTS

被引:45
作者
Amini, Shahram M. [2 ]
Parmeter, Christopher F. [1 ]
机构
[1] Univ Miami, Dept Econ, Coral Gables, FL 33124 USA
[2] Virginia Polytech Inst & State Univ, Dept Econ, Blacksburg, VA 24061 USA
关键词
D O I
10.1002/jae.2288
中图分类号
F [经济];
学科分类号
02 ;
摘要
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 (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:870 / 876
页数:7
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