TY  - RPRT
        AU  - Gray, Steve
AU  - Kemeny, Tom
AU  - Nathan, Max
AU  - Ozgen, Ceren
AU  - Pialli, Guido
AU  - Reades, Jon
AU  - Rosso, Anna
AU  - Seré, Mateo
AU  - Siddiqui, Sameera
AU  - Valero, Anna
        TI  - GRAPH-EE: Building Employer-Employee Panels from a Knowledge Graph and Company Microdata
        PY  - 2026/Oct/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 19049
        UR  - https://www.iza.org/publications/dp19049
        AB  - 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.
        KW  - data science
KW  - employer-employee data
KW  - productivity
KW  - innovation
KW  - skills
        ER  -