Trusted smart statistics: The challenge of extracting usable aggregate information from new data sources
File(s)
Accepted version
Author(s)
Vichi, Maurizio
Hand, David J
Type
Journal Article
Abstract
Recent years have seen dramatic changes in sources of data, amounts of data, availability of data, frequency of data, and types of data. Along with advances in data analytic technology these changes have opened up huge possibilities for improving the information content and timeliness of official statistics. in this paper we characterise such “smart statistics”, examining their potential benefits and the obstacles that must be overcome if they are to be trusted and relied upon. In particular, we list eight specific recommendations which we believe producers of smart statistics should adhere to if the full potential for economic and social benefit is to be achieved.
Date Issued
2019-12-10
Date Acceptance
2019-11-01
Citation
Statistical Journal of the IAOS, 2019, 35 (4), pp.605-613
ISSN
1874-7655
Publisher
IOS Press
Start Page
605
End Page
613
Journal / Book Title
Statistical Journal of the IAOS
Volume
35
Issue
4
Copyright Statement
© 2019 – IOS Press and the authors. All rights reserved.
Identifier
https://content.iospress.com/articles/statistical-journal-of-the-iaos/sji190526
Subjects
Economics
0104 Statistics
Publication Status
Published
Date Publish Online
2019-11-15