Speaker
Description
With the need for deeper analysis and more granular data, statistical offices must place a greater focus on measures to mitigate the risks of statistical data disclosure. There can, however, be tensions between users who require granular data and the need for statistical offices not to disclose information of the data subjects.
However, this tension may not be most obvious to some user groups, and statistical officers may struggle to effectively navigate this when applying methods aimed at reducing disclosure risks for the various groups of data users and the specific circumstances involved. National statistical offices can thus take a practical approach by combining both promotion (education) and prevention (methods applied to statistical results) measures to enhance the effectiveness of reducing disclosure risks.
The national office of labour statistics in Singapore has developed a set of strategies based on a blended approach of promotion and preventive measures aimed at reducing risks of statistical data disclosure. This paper outlines the measures implemented and reviews the issues and effectiveness of these strategies in the practical application to different user groups of statistical products, including the general public, policymakers in government departments, and the academic community.
