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IZA Discussion Paper No. 19049
October 2026
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, Mateo Seré, Sameera Siddiqui, Anna Valero

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.

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Mark Fallak
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Olga Nottmeyer
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Christina Gathmann
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The IZA@LISER Network is a global community of scholars dedicated to excellence in labor economics and related fields, now coordinated at the Luxembourg Institute of Socio-Economic Research (LISER) following its transition from Bonn.

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