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A Roadmap for Developing a New LEED Infrastructure for the UK

Author

Listed:
  • Forth, John
  • Bryson, Alex
  • Palmou, Christina

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.

Suggested Citation

  • Forth, John & Bryson, Alex & Palmou, Christina, 2025. "A Roadmap for Developing a New LEED Infrastructure for the UK," Technical Reports escoe-tr-28, Economic Statistics Centre of Excellence.
  • Handle: RePEc:eoe:escoet:escoe-tr-28
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    File URL: https://www.repository-escoe.com/id/eprint/66/1/ESCoE-TR-28.pdf
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    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

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