Comparison of model averaging techniques

Assessing growth determinants

Shahram M. Amini, Christopher Parmeter

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)870-876
Number of pages7
JournalJournal of Applied Econometrics
Volume27
Issue number5
DOIs
StatePublished - Aug 1 2012

Fingerprint

determinants
growth theory
uncertainty
Model averaging
Estimator
Growth theory
Bayesian methods
Bayesian model averaging
Uncertainty

ASJC Scopus subject areas

  • Economics and Econometrics
  • Social Sciences (miscellaneous)

Cite this

Comparison of model averaging techniques : Assessing growth determinants. / Amini, Shahram M.; Parmeter, Christopher.

In: Journal of Applied Econometrics, Vol. 27, No. 5, 01.08.2012, p. 870-876.

Research output: Contribution to journalArticle

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