Evaluating a Model by Forecast Performance*

B-Tier
Journal: Oxford Bulletin of Economics and Statistics
Year: 2005
Volume: 67
Issue: s1
Pages: 931-956

Authors (2)

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

Although out‐of‐sample forecast performance is often deemed to be the ‘gold standard’ of evaluation, it is not in fact a good yardstick for evaluating models in general. The arguments are illustrated with reference to a recent paper by Carruth, Hooker and Oswald [Review of Economics and Statistics (1998), Vol. 80, pp. 621–628], who suggest that the good dynamic forecasts of their model support the efficiency‐wage theory on which it is based.

Technical Details

RePEc Handle
repec:bla:obuest:v:67:y:2005:i:s1:p:931-956
Journal Field
General
Author Count
2
Added to Database
2026-01-25