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All Outputs (77)

The perils of pre-filling: Lessons from the UK's Annual Survey of Hours and Earning microdata (2023)
Journal Article
Whittard, D., Ritchie, F., Phan, V., Bryson, A., Forth, J., Stokes, L., & Singleton, C. (2023). The perils of pre-filling: Lessons from the UK's Annual Survey of Hours and Earning microdata. Statistical Journal of the IAOS, 39(3), 661-677. https://doi.org/10.3233/SJI-230013

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
Mansouri-Benssassi, E., Rogers, S., Reel, S., Malone, M., Smith, J., Ritchie, F., & Jefferson, E. (2023). Disclosure control of machine learning models from trusted research environments (TRE): New challenges and opportunities. Heliyon, 9(4), Article e15143. https://doi.org/10.1016/j.heliyon.2023.e15143

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
Vaze, P., Ioramshvili, C., Whittard, D., & Ritchie, F. (2022). Data use externatilies: Report to department for digital, culture, media and sport by Belmana with the University of the West of England. https://www.gov.uk: Department for Digital, Culture, Media and Sport

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
Ritchie, F. (2022, November). Frameworks, principles, and accreditation: Making data governance work. Presented at RSS Data Ethics and Governance – origins, progress and priorities, London

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)
Working Paper
Phan, V., Ritchie, F., Whittard, D., Stokes, L., Forth, J., & Bryson, A. Can we identify students in ASHE?

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)
Working Paper
Whittard, D., Phan, V., Stokes, L., Forth, J., Bryson, A., Singleton, C., & Ritchie, F. The incidence of low pay is falling in Britain, but why – and can we trust the figures?

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
Whittard, D., Drew, H., & Ritchie, F. (2022). Not just arms and legs: Employer perspectives on student workers. Journal of Education and Work, 35(6-7), 751-765. https://doi.org/10.1080/13639080.2022.2126972

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)
Conference Proceeding
Derrick, B., Green, E., Ritchie, F., & White, P. (2022). Risk of disclosure when reporting commonly used univariate statistics. In Lecture Notes in Computer Science (119-129). https://doi.org/10.1007/978-3-031-13945-1_9

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
Ritchie, F. (2022). 10 is the safest number that there's ever been. Transactions on data privacy, 15(2), 109-140

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)
Working Paper
Whittard, D., Ritchie, F., Stokes, L., Forth, J., Phan, V., Bryson, A., & Singleton, C. Enriched ASHE Quick Start Guide

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.

A marriage of convenience: How employers and students working in hospitality view the employment relationship (2022)
Journal Article
Evans, C., Ritchie, C., Drew, H., & Ritchie, F. (2022). A marriage of convenience: How employers and students working in hospitality view the employment relationship. Hospitality and Society, 12(3), 299-318. https://doi.org/10.1386/hosp_00055_1

Since the 1990s, the hospitality industry has been increasingly characterized by temporary and insecure forms of employment, a development, which has coincided with rising numbers of students seeking part-time employment. This provides increased job... Read More about A marriage of convenience: How employers and students working in hospitality view the employment relationship.

Weighting for employer non-response in ASHE (2022)
Working Paper
Stokes, L., Forth, J., Ritchie, F., Singleton, C., Phan, V., Bryson, A., …McKenzie, A. Weighting for employer non-response in ASHE

The Annual Survey of Hours and Earnings (ASHE) is based on a 1% sample of employee jobs and provides many of the UK’s official earnings statistics. Weights are provided with the core dataset, which adjust the profile of the annual achieved sample suc... Read More about Weighting for employer non-response in ASHE.

Accounting for firms in ethnicity wage gaps throughout the earnings distribution (2022)
Working Paper
Phan, V., Singleton, C., Bryson, A., Forth, J., Ritchie, F., Stokes, L., & Whittard, D. (2022). Accounting for firms in ethnicity wage gaps throughout the earnings distribution

Ethnicity wage gaps in Great Britain are large and have persisted over time. Previous studies of these gaps have been almost exclusively confined to analyses of household data, so they could not account for the role played by individual employers, de... Read More about Accounting for firms in ethnicity wage gaps throughout the earnings distribution.

Disclosure risks in odds ratios and logistic regression (2022)
Presentation / Conference
Derrick, B., Green, E., Ritchie, F., & White, P. (2022, April). Disclosure risks in odds ratios and logistic regression. Paper presented at Scottish Economic Society Annual Conference 2022: Special session 'Protecting confidentiality in social science research outputs', Glasgow

When publishing statistics from confidential data, there exists a risk that the statistic might inadvertently reveal confidential information. Statistical disclosure control (SDC) aims to reduce that risk to an acceptable level. Most SDC theory is co... Read More about Disclosure risks in odds ratios and logistic regression.

Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation (2022)
Presentation / Conference
Derrick, B., Green, E., Kember, K., Ritchie, F., & White, P. (2022, April). Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation. Paper presented at Scottish Economic Society, Glasgow

Reporting the sample mean, sample standard deviation and sample size could in some cases lead to the unique identification of the underpinning sample. The likelihood of this reveal via direct enumeration of the possible search space decreases with i... Read More about Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation.

Longitudinal attrition in ASHE (2022)
Working Paper
Forth, J., Phan, V., Stokes, L., Bryson, A., Ritchie, F., Whittard, D., & Singleton, C. Longitudinal attrition in ASHE

The Annual Survey of Hours and Earnings (ASHE) provides many of the UK’s official earnings statistics. The survey operates on an annual 1% sample of employee jobs. However, the method of sampling - based on the final two digits of an employee’s Natio... Read More about Longitudinal attrition in ASHE.

Using the ‘five safes’ to structure economic evaluations of data governance (2022)
Working Paper
Ritchie, F., & Whittard, D. Using the ‘five safes’ to structure economic evaluations of data governance

The ‘five safes’ is a popular data governance framework. It is used to design and critique data management strategies across the world, and has also been used as a performance framework to measure the effectiveness of data access operations. We repor... Read More about Using the ‘five safes’ to structure economic evaluations of data governance.

Measuring the value of data governance in agricultural investments: A case study (2022)
Journal Article
Whittard, D., Ritchie, F., Rose, M., & Musker, R. (2022). Measuring the value of data governance in agricultural investments: A case study. Experimental Agriculture, 58, Article e8. https://doi.org/10.1017/S0014479721000314

Summary The study at hand measures the value of improving data governance and access in the Supporting Soil Health Interventions (SSHI) project in Ethiopia. We applied two separate but interlinked models, one qualitative and one quantitative, to crea... Read More about Measuring the value of data governance in agricultural investments: A case study.