Operationalising ‘safe statistics’: The case of linear regression

Ritchie, Felix

Abstract

The recent growth in research access to confidential government microdata has prompted the development of more general 'output-based statistical disclosure control' (OSDC) methods which go beyond tabular protection. Central to OSDC is the concept of 'safe/unsafe statistics', allowing researchers and facility owners to make informed judgments about the types of research output that pose a disclosure risk. While increasingly accepted in specialist environments, in the wider community this novel approach causes some concern: how can 'safe' be unconditional? This paper therefore demonstrates the new approach using linear regression, a key research output, as an example. In doing so, the paper reconsiders the objectivity of SDC decision-making, arguing that ‘safety’ be explicitly acknowledged as a relative concept

Citation

Ritchie, F. (2014). Operationalising ‘safe statistics’: The case of linear regression. Bristol

• Publication Date: Nov 1, 2014
• Publicly Available Date: Jun 6, 2019
• Peer Reviewed: Peer Reviewed
• Keywords: statistical disclosure control, output SDC, confidentiality, safe statistics, regression
• Public URL: https://uwe-repository.worktribe.com/output/808629
• Publisher URL: http://www1.uwe.ac.uk/bl/research/bristoleconomics/research/economicspapers2014.aspx
• Additional Information: Additional Information : Economics Working Paper Series No. 1410