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Publications & reports

Dataset-specific publications, such as Data Explained documents and user guides, can be found on the ADR UK Data Catalogue or on Flagship datasets.

Working towards an environmentally sustainable and equitable future? New evidence on green jobs

This Data Insight by ADR UK Fellow, Damian Whittard, explores employment in green jobs in England and Wales. The article considers who is working in a green occupation and calculates if there is a pay benefit for doing so.

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Data Insight: Investigating the relationship between higher education participation, personal characteristics and area of residence among school or college leavers

This Data Insight investigates the extent to which the personal characteristics and area of residence of school or college leavers in England have a bearing on the likelihood of participation in higher education.

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Data Insight: Understanding the impact of time in care on educational attainment in England

This Data Insight by Xiaohui Zhang examines the impact of time spent in care on educational attainment, measured by the number of GCSE and advanced level qualifications achieved by children aged 15 and 17 in England. The findings are based on analyses of the Growing Up in England (GUiE) dataset.

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Data Insight: Gender gaps in teacher grades for university admissions

This Data Insight discusses the differences between A-level teacher-predicted grades for university admissions, and exam results, by student gender.

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Data Insight: New evidence on gender pay gaps in Great Britain

This Data Insight presents new evidence on the size of the gender pay gap in Great Britain.

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Data Insight: How many jobs, how much earned?

This Data Insight by the Wage and Employment Dynamics team explores the number of jobs and the earnings that employees receive over the course of a year. It presents information from the Annual Survey of Hours and Earnings (ASHE) linked to Pay-As-You-Earn (PAYE) data from HM Revenue and Customs (HMRC) for 2014-2019 in Great Britain.

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Changes over time to Pupil Matching Reference Numbers in the National Pupil Database

This report summarises findings from an analysis examining the extent to which the Pupil Matching Reference numbers (PMRs) within the National Pupil Database (NPD) change over time. The project also investigated which demographic groups of individuals were more or less likely to be affected by these changes. This work was carried out as part of the ECHILD (Education and Child Health Insights from Linked Data) project.

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Data Insight: Children involved with child welfare services and the likelihood of a custodial sentence

This Data Insight by Dr Anna Leyland summarises findings from working with the Ministry of Justice & Department for Education linked dataset - England. Using data from the National Pupil Database and the Police National Computer, the research analyses the likelihood of receiving a custodial sentence by 2020 for children who were referred to or received an intervention from child welfare services from ages 5-18.

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Data Insight: What came first: Is there a causal role of child welfare service interventions on likelihood of having criminal cautions or convictions?

This Data Insight summarises findings from working with the Ministry of Justice & Department for Education linked dataset - England. Using de-identified data from the National Pupil Database and the Police National Computer, the research looks at the order in which children were in contact with the child welfare service and criminal justice system. This report then estimates the likelihood of having any criminal caution or conviction, including only those cases where children were involved with the child welfare service one year or more before they had any criminal caution or conviction and up until 2020.

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Data Insight: Enforced alcohol abstinence: does it reduce reoffending?

This Data Insight draws on Ministry of Justice Data First magistrates’ courts and probation datasets to examine how alcohol-treatment and monitoring requirements are used and whether they reduce reoffending.

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