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GRAPH-EE: building employer - employee panels from a knowledge graph and company microdata

Author

Listed:
  • Steve Gray
  • Tom Kemeny
  • Max Nathan
  • Ceren Ozgen
  • Guido Pialli
  • Jon Reades
  • Anna Rosso
  • Mateo Sere
  • Sameera Siddiqui
  • Anna Valero

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.

Suggested Citation

  • Steve Gray & Tom Kemeny & Max Nathan & Ceren Ozgen & Guido Pialli & Jon Reades & Anna Rosso & Mateo Sere & Sameera Siddiqui & Anna Valero, 2026. "GRAPH-EE: building employer - employee panels from a knowledge graph and company microdata," CEP Discussion Papers dp2156, Centre for Economic Performance, LSE.
    • Handle: RePEc:cep:cepdps:dp2156
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    References listed on IDEAS

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