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Robust official business statistics methodology during COVID-19-related and other economic downturns

Robust official business statistics methodology during COVID-19-related and other economic downturns
Robust official business statistics methodology during COVID-19-related and other economic downturns
How methods and models of official statistics behave at key times, like the COVID-19 pandemic, and can be made more robust to these unusual changes.
1874-7655
1079-1084
Smith, Paul A.
a2548525-4f99-4baf-a4d0-2b216cce059c
Lorenc, Boris
777f11b6-1b39-42a2-9204-d26c52601c33
Smith, Paul A.
a2548525-4f99-4baf-a4d0-2b216cce059c
Lorenc, Boris
777f11b6-1b39-42a2-9204-d26c52601c33

Smith, Paul A. and Lorenc, Boris (2020) Robust official business statistics methodology during COVID-19-related and other economic downturns. Statistical Journal of the International Association for Official Statistics, 37 (4), 1079-1084. (doi:10.3233/SJI-210870).

Record type: Article

Abstract

How methods and models of official statistics behave at key times, like the COVID-19 pandemic, and can be made more robust to these unusual changes.

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More information

Accepted/In Press date: 14 September 2020
Published date: 14 September 2020

Identifiers

Local EPrints ID: 444288
URI: http://eprints.soton.ac.uk/id/eprint/444288
ISSN: 1874-7655
PURE UUID: 1f181d65-4d44-4cd0-9fa9-2d1c8b74d632
ORCID for Paul A. Smith: ORCID iD orcid.org/0000-0001-5337-2746

Catalogue record

Date deposited: 09 Oct 2020 16:31
Last modified: 17 Mar 2024 03:36

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Contributors

Author: Paul A. Smith ORCID iD
Author: Boris Lorenc

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