Testing the predictive accuracy of COVID-19 forecasts

Coroneo, Laura orcid.org/0000-0001-5740-9315, Iacone, Fabrizio orcid.org/0000-0002-2681-9036, Paccagnini, Alessia et al. (1 more author) (2023) Testing the predictive accuracy of COVID-19 forecasts. International journal of forecasting. pp. 606-622. ISSN 0169-2070



Copyright, Publisher and Additional Information: © 2022 Published by Elsevier B.V. on behalf of International Institute of Forecasters. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.
Keywords: Forecast evaluation, Forecasting tests, Epidemic
  • Accepted: 15 January 2022
  • Published (online): 4 March 2023
Institution: The University of York
Academic Units: The University of York > Faculty of Social Sciences (York) > Economics and Related Studies (York)
Depositing User: Pure (York)
Date Deposited: 17 Jan 2022 11:50
Last Modified: 21 Jun 2023 23:14
Published Version: https://doi.org/10.1016/j.ijforecast.2022.01.005
Status: Published online
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ijforecast.2022.01.005


Accepted Version

Embargoed until: 4 March 2025

Filename: Covid_IJoF2.pdf

Description: Covid_IJoF2

Licence: CC-BY-NC-ND 2.5

Request a copy

file not available