Quasi‐Bayesian model selection

B-Tier
Journal: Quantitative Economics
Year: 2018
Volume: 9
Issue: 3
Pages: 1265-1297

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

In this paper, we establish the consistency of the model selection criterion based on the quasi‐marginal likelihood (QML) obtained from Laplace‐type estimators. We consider cases in which parameters are strongly identified, weakly identified and partially identified. Our Monte Carlo results confirm our consistency results. Our proposed procedure is applied to select among New Keynesian macroeconomic models using US data.

Technical Details

RePEc Handle
repec:wly:quante:v:9:y:2018:i:3:p:1265-1297
Journal Field
General
Author Count
2
Added to Database
2026-01-25