Outputs (77)

The perils of pre-filling: Lessons from the UK's Annual Survey of Hours and Earning microdata (2023)
Journal Article

The role of the National Statistical Institution (NSI) is changing, with many now making microdata available to researchers through secure research environments This provides NSIs with an opportunity to benefit from the methodological input from rese... Read More about The perils of pre-filling: Lessons from the UK's Annual Survey of Hours and Earning microdata.

Disclosure control of machine learning models from trusted research environments (TRE): New challenges and opportunities (2023)
Journal Article

Introduction: Artificial intelligence (AI) applications in healthcare and medicine have increased in recent years. To enable access to personal data, Trusted Research Environments (TREs) (otherwise known as Safe Havens) provide safe and secure enviro... Read More about Disclosure control of machine learning models from trusted research environments (TRE): New challenges and opportunities.

Data use externatilies: Report to department for digital, culture, media and sport by Belmana with the University of the West of England (2022)
Report

This study was commissioned by the Department for Digital, Culture, Media and Sport to: ● Identify the likely positive and negative externalities of data use (that is, the wider social impacts of data use) and ● Provide an assessment of the viabili... Read More about Data use externatilies: Report to department for digital, culture, media and sport by Belmana with the University of the West of England.

Frameworks, principles, and accreditation: Making data governance work (2022)
Presentation / Conference Contribution

Presentation to the Royal Statistical Society Data Ethics Section, covering the origins and development of the Five Safes, the EDRU approach to problems-solving, principles-based regulation, and how these all need to work together to achieve effectiv... Read More about Frameworks, principles, and accreditation: Making data governance work.

Can we identify students in ASHE? (2022)
Preprint / Working Paper

ASHE is a key dataset in the UK, the only one which allows long-term analysis of flows in labour market status and earnings, and hence vitally important in the understanding of low pay and wage progression. Separating out students from non-student wo... Read More about Can we identify students in ASHE?.

The incidence of low pay is falling in Britain, but why – and can we trust the figures? (2022)
Preprint / Working Paper

Recent research indicates that the percentage of employees in Britain who are low paid – earning below two-thirds median hourly earnings – has been falling in the last 6-7 years. It points to the increased ‘bite’ of the adult National Minimum Wage (N... Read More about The incidence of low pay is falling in Britain, but why – and can we trust the figures?.

Not just arms and legs: Employer perspectives on student workers (2022)
Journal Article

The student workforce plays a substantial part in several low-paying industries such as retail and hospitality, and this has grown over time. However, there has been little recent research. The usual assumption is that students compete successfully w... Read More about Not just arms and legs: Employer perspectives on student workers.

Risk of disclosure when reporting commonly used univariate statistics (2022)
Presentation / Conference Contribution

When basic or descriptive summary statistics are reported, it may be possible that the entire sample of observations is inadvertently disclosed, or that members within a sample will be able to work out responses of others. Three sets of univariate su... Read More about Risk of disclosure when reporting commonly used univariate statistics.

10 is the safest number that there's ever been (2022)
Journal Article

When checking frequency and magnitude tables for disclosure risk, the cell threshold (the minimum number of observations in each cell) is a crucial parameter. In rules-based environments, this is a hard limit on what can or can't be published. In pri... Read More about 10 is the safest number that there's ever been.

Enriched ASHE Quick Start Guide (2022)
Preprint / Working Paper

The Wage and Employment Dynamics (WED) project was funded by Administrative Data Research 2019-2022 to review, quality assure and enhance ASHE data. The project was also provided with ASHE data linked to the 2011 Census for England and Wales. This do... Read More about Enriched ASHE Quick Start Guide.