Linked Employer–Employee Data from XING and the Mannheim Enterprise Panel

Breithaupt Patrick (), Hottenrott Hanna (), Christian Rammer and Römer Konstantin ()
Additional contact information
Breithaupt Patrick: Digital Economy Department, 28345 ZEW Mannheim , P.O. Box 103443, 68034 Mannheim, Germany
Hottenrott Hanna: Economics of Innovation and Industrial Dynamics Department, ZEW Mannheim, P.O. Box 103443, 68034 Mannheim, Germany
Römer Konstantin: TUM School of Management, Department of Economics & Policy, Technical University of Munich, 80333 Munich, Germany

Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 2025, vol. 245, issue 6, 689-703

Abstract: The availability of social media data is growing and represents a new data source for economic research. This paper presents a detailed study on the use of data from a career-oriented social networking platform. The employment data are exported from user profiles and linked to the Mannheim Enterprise Panel (MUP). The linked employer–employee (LEE) data consist of 14 million employments for 1.5 million employers and describes around 9 million employee flows. Plausibility checks confirm that career-oriented social networking data contain valuable information about employments and employee flows. Using such platform data provides opportunities for research on employee mobility, networks, and local ecosystems’ role in economic performance at the employer and the regional level.

Keywords: labour mobility; linked-employer–employee data; network analysis; platform data; social networks (search for similar items in EconPapers)
JEL-codes: C81 J60 L14 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:jns:jbstat:v:245:y:2025:i:6:p:689-703:n:1003

DOI: 10.1515/jbnst-2024-0070

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