Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/279575 
Year of Publication: 
2023
Series/Report no.: 
ZEW Discussion Papers No. 23-041
Publisher: 
ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung, Mannheim
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 careeroriented social networking platform for measuring employee flows and employer networks. The employment data are exported from user profiles and linked to the Mannheim Enterprise Panel (MUP). The linked employer-employee (LEE) data consists of 14 million employments for 1.5 million employers. The platform-based LEE data is used to create annual employer networks comprised of data from 9 million employee flows. Plausibility checks confirm that career-oriented social networking data contain valuable data about employment, employee flows, and employer networks. Using such data provides opportunities for research on employee mobility, networks, and local ecosystems' role in economic performance at the employer and the regional level.
Subjects: 
social networks
platform data
lee data
labour mobility
network analysis
JEL: 
C81
J60
L14
Document Type: 
Working Paper

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