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A Roadmap for Developing a New Linked Employer-Employee Data Infrastructure

Forth, J. ORCID: 0000-0001-7963-2817, Bryson, A. & Palmou, C. (2025). A Roadmap for Developing a New Linked Employer-Employee Data Infrastructure (TR-28). Economic Statistics Centre of Excellence, ISSN 2515-4664.

Abstract

Linked employer-employee data (LEED) are a valuable component of any country’s data infrastructure. However, existing sources of LEED in the UK have significant limitations. This report argues that the UK now has a strategic opportunity to build a new LEED infrastructure around the employment and earnings data from the HM Revenue and Customs (HMRC) Pay-As-You-Earn Real Time Information (PAYE RTI) system. These data are comprehensive in coverage, longitudinal, high-frequency and linkable to other datasets. The report proposes that the new LEED infrastructure should be based around a linked employer-employee spine, which is augmented with data matched in from administrative databases and surveys. The resulting infrastructure should be periodically updated, curated and made available to the research community under controlled conditions. The report sets out a roadmap for the development of this new LEED infrastructure, identifies relevant stakeholders, and outlines ways in which the data could inform policy-making on issues such as business dynamism, productivity, wage growth, inactivity and job quality.

Publication Type: Report
Additional Information: Published by Economic Statistics Centre of Excellence. © John Forth, Alex Bryson and Christina Palmou
Publisher Keywords: Linked employer-employee data, data linkage, productivity, job quality
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Departments: Bayes Business School
Bayes Business School > Faculty of Management
SWORD Depositor:
[thumbnail of Forth Bryson Palmou (2025) A roadmap for new LEED (ESCoE-TR-28).pdf]
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