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Incorporating data quality improvement into supply–use table balancing

Serpell, Martin

Authors

Martin Serpell Martin2.Serpell@uwe.ac.uk
Senior Lecturer in Computer Systems and Networks



Abstract

© 2017 The International Input–Output Association. This paper investigates the benefits of using a boundary tightening algorithm to improve the quality of the data used in supply and use table (SUT) balancing, building on similarities with certain approaches to statistical disclosure control. Boundary tightening was shown to significantly improve the quality of the finally balanced SUTs well beyond that of existing techniques. Most notably, improvements occurred when boundary tightening was applied prior to the balancing process–showing that it can be used as a valuable preliminary to other approaches. It also multiplied the improvement in SUTs quality when more accurate updated information was added to the SUTs. The findings of this paper strongly suggest that this boundary tightening algorithm will improve the quality of the output of the balancing process and it is equally likely to be useful when applied to other processes that handle uncertain data.

Journal Article Type Article
Publication Date Apr 3, 2018
Journal Economic Systems Research
Print ISSN 0953-5314
Electronic ISSN 1469-5758
Publisher Taylor & Francis (Routledge)
Peer Reviewed Peer Reviewed
Volume 30
Issue 2
Pages 271-288
APA6 Citation Serpell, M. (2018). Incorporating data quality improvement into supply–use table balancing. Economic Systems Research, 30(2), 271-288. https://doi.org/10.1080/09535314.2017.1396962
DOI https://doi.org/10.1080/09535314.2017.1396962
Keywords supply and use tables, national economic and social accounts, balancing, improving data quality
Publisher URL https://doi.org/10.1080/09535314.2017.1396962
Additional Information Additional Information : This is an Accepted Manuscript of an article published by Taylor & Francis in Economic Systems Research on 13th November 2017, available online: https://doi.org/10.1080/09535314.2017.1396962.

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