GRAPH-EE: Building Employer-Employee Panels from a Knowledge Graph and Company Microdata

Steve Gray, Tom Kemeny, Max Nathan (), Ceren Ozgen (), Guido Pialli, Jon Reades, Anna Rosso, Seré, Mateo, Sameera Siddiqui and Anna Valero
Additional contact information
Steve Gray: UCL
Tom Kemeny: University of Toronto
Max Nathan: University College London
Ceren Ozgen: University of Birmingham
Guido Pialli: University of Turin
Jon Reades: UCL
Anna Rosso: University of Milan
Seré, Mateo: UCL
Sameera Siddiqui: UCL
Anna Valero: LSE and CEP

No 19049, IZA Discussion Papers from IZA Network @ LISER

Abstract: Linked employer-employee datasets are a hugely powerful tool for researchers and policymakers across the social sciences. However, access to such data is typically highly restricted and the quality of data varies substantially across countries. This paper presents GRAPH-EE, a large-scale employer-employee platform for larger companies in the UK. Leveraging a vast knowledge graph of the global public internet linked to UK company microdata and global patents data, GRAPH-EE is a rich complement to administrative data sources. This version of the platform covers over 10,500 companies and 800,000 workers active in the UK during 2007-2023. We show the potential to extend our approach to multiple other countries. A public release version of the data, plus codebase and documentation, is available to researchers and detailed in this paper.

Keywords: data science; employer-employee data; productivity; innovation; skills (search for similar items in EconPapers)
JEL-codes: C55 C81 J10 J24 J61 L25 O31 (search for similar items in EconPapers)
Date: 2026-10
References: Add references at CitEc
Citations:

Downloads: (external link)
https://docs.iza.org/dp19049.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp19049

Access Statistics for this paper

More papers in IZA Discussion Papers from IZA Network @ LISER Contact information at EDIRC.
Bibliographic data for series maintained by Mark Fallak ().