Can Groups Improve Expert Economic and Financial Forecasts?
Warwick Smith,
Anca M. Hanea and
Mark A. Burgman
Additional contact information
Warwick Smith: School of Social and Political Sciences, University of Melbourne, Parkville, VIC 3010, Australia
Anca M. Hanea: Centre of Excellence for Biosecurity Risk Analysis, School of BioSciences, The University of Melbourne, Parkville, VIC 3010, Australia
Mark A. Burgman: Centre for Environmental Policy, Imperial College London, London SW7 1NE, UK
Forecasting, 2022, vol. 4, issue 3, 1-18
Abstract:
Economic and financial forecasts are important for business planning and government policy but are notoriously challenging. We take advantage of recent advances in individual and group judgement, and a data set of economic and financial forecasts compiled over 25 years, consisting of multiple individual and institutional estimates, to test the claim that nominal groups will make more accurate economic and financial forecast than individuals. We validate the forecasts using the subsequent published (real) outcomes, explore the performance of nominal groups against institutions, identify potential superforecasters and discuss the benefits of implementing structured judgment techniques to improve economic and financial forecasts.
Keywords: economic forecasting; expert opinion; economic survey; macroeconomics (search for similar items in EconPapers)
JEL-codes: A1 B4 C0 C1 C2 C3 C4 C5 C8 M0 Q2 Q3 Q4 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2571-9394/4/3/38/pdf (application/pdf)
https://www.mdpi.com/2571-9394/4/3/38/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jforec:v:4:y:2022:i:3:p:38-716:d:878584
Access Statistics for this article
Forecasting is currently edited by Ms. Joss Chen
More articles in Forecasting from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().