Information rigidities: Comparing average and individual forecasts for a large international panel

B-Tier
Journal: International Journal of Forecasting
Year: 2015
Volume: 31
Issue: 1
Pages: 144-154

Score contribution per author:

0.503 = (α=2.01 / 4 authors) × 1.0x B-tier

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

Abstract

We study forecasts of real GDP growth using a large panel of individual forecasts from 36 advanced and emerging economies over the period 1989–2010. We show that the degree of information rigidity in average forecasts is substantially higher than that in individual forecasts. Individual-level forecasts are updated quite frequently, a behavior which is more in line “noisy” information models (Woodford, 2002; Sims, 2003) than with the assumptions of the sticky information model (Mankiw & Reis, 2002). While there are cross-country variations in information rigidity, there are no systematic differences between advanced and emerging economies.

Technical Details

RePEc Handle
repec:eee:intfor:v:31:y:2015:i:1:p:144-154
Journal Field
Econometrics
Author Count
4
Added to Database
2026-01-25