Mean absolute percentage error and bias in economic forecasting

C-Tier
Journal: Economics Letters
Year: 2011
Volume: 113
Issue: 3
Pages: 259-262

Score contribution per author:

1.005 = (α=2.01 / 1 authors) × 0.5x C-tier

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

Abstract

This article develops a simple theoretical framework to show how forecasters may bias downward point predictions under the assumption that the asymmetric loss function is directly related to the (Mean) Absolute Percentage Error (M)APE.

Technical Details

RePEc Handle
repec:eee:ecolet:v:113:y:2011:i:3:p:259-262
Journal Field
General
Author Count
1
Added to Database
2026-01-26