Search all our publications and reports here: from Data Insights sharing our research findings in brief, to policy briefings, and many more. Use the filters on the right to help find what you're looking for.
Displaying results 1 to 10 out of 14
This Data Insight by ADR UK fellow Golo Henseke uses the Longitudinal Education Outcomes (LEO) dataset to examine where Science, Technology, Engineering and Maths (STEM) graduates work and how this relates to their earnings.
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This Data Insight by ADR UK fellow Dr Vickie Barrett explores the relationship between school exclusions and offending in England. We used the Ministry of Justice and Department for Education linked dataset which included de-identified data from the Police National Computer (PNC) and National Pupil Database (NPD).
This Data Insight explores how young workers are matched to firms across local labour markets in England, using the Longitudinal Education Outcomes (LEO) dataset. We focus on differences in ‘positive assortative matching’ – the extent to which high-skilled workers are matched to high-quality firms – which is assumed to increase productivity in many standard economic models.
This Data Insight uses the Longitudinal Education Outcomes (LEO) dataset – England to compare the labour market trajectories of students who followed academic and vocational pathways after their GCSEs. The insights point to a substantial gap in earnings growth, with students who followed academic education routes experiencing higher earnings growth in their careers. The research highlights the role of firms in explaining and amplifying this difference.
This Data Insight draws on the Ministry of Justice (MoJ) and Department for Education (DfE) dataset to examine how socio-emotional developmental difficulties observed in early childhood are associated with offending behaviour during adolescence.
This Data Insight explores the relationship between school absenteeism and subsequent patterns of criminal activity. It addresses the question ‘What are the long-term effects of school absenteeism on crime at different stages of life?’ Specifically, it examines whether authorised and unauthorised absences are associated with future cautions and convictions.
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.
This Data Insight discusses the differences between A-level teacher-predicted grades for university admissions, and exam results, by student gender.
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.
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.
