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Differing behaviours of forecasters of UK GDP growth

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Title: Differing behaviours of forecasters of UK GDP growth
Authors: Meade, N
Driver, C
Item Type: Journal Article
Abstract: The literature suggests that the dispersion of agents’ forecasts of an event flows from heterogeneity of beliefs and models. Using a data set of fixed event point forecasts of UK GDP growth by a panel of independent forecasters published by HM Treasury, we investigate three questions concerning this dispersion: (a) Are agent’s beliefs randomly distributed or do agents fall into groups with similar beliefs? (b) as agents revise their forecasts, what roles are played by their previous and consensus forecasts? and (c) is an agent’s private information of persistent value? We find that agents fall into four clusters, a large majority, a few pessimists, and two idiosyncratic agents. Our proposed model of forecast revisions shows agents are influenced positively by a change in the consensus forecast and negatively influenced by the previous distance of their forecast from the consensus. We show that the forecasts of a minority of agents significantly lead the consensus.
Issue Date: Apr-2023
Date of Acceptance: 1-Apr-2022
URI: http://hdl.handle.net/10044/1/107707
DOI: 10.1016/j.ijforecast.2022.02.005
ISSN: 0169-2070
Publisher: Elsevier
Start Page: 772
End Page: 790
Journal / Book Title: International Journal of Forecasting
Volume: 39
Issue: 2
Copyright Statement: © 2022 The Authors. Published by Elsevier B.V. on behalf of International Institute of Forecasters. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Publication Status: Published
Online Publication Date: 2022-04-11
Appears in Collections:Imperial College Business School



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