Evaluating probability forecasts for GDP declines using alternative methodologies

B-Tier
Journal: International Journal of Forecasting
Year: 2013
Volume: 29
Issue: 1
Pages: 175-190

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

Evaluation methodologies for rare events from meteorology, psychology and medical diagnosis are used to examine the value of probabilistic forecasts of real GDP declines during the current quarter (Q0) and each of the next four quarters (Q1–Q4) using data from the Survey of Professional Forecasters. We study the quality of these probability forecasts in terms of their calibration, resolution and odds ratio, as well as the relative operating characteristic (ROC) and alternative variance decompositions. Only the shorter-term forecasts (Q0–Q2) are found to possess significant skill in terms of all measures considered, even though they are characterized by an excess of variability and a lack of calibration.

Technical Details

RePEc Handle
repec:eee:intfor:v:29:y:2013:i:1:p:175-190
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-25