Mapping employee mobility and employer networks using professional network data

Patrick Breithaupt, Hanna Hottenrott, Christian Rammer and Konstantin Römer

No 23-041, ZEW Discussion Papers from ZEW - Leibniz Centre for European Economic Research

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.

Keywords: social networks; platform data; lee data; labour mobility; network analysis (search for similar items in EconPapers)
JEL-codes: C81 J60 L14 (search for similar items in EconPapers)
Date: 2023
New Economics Papers: this item is included in nep-big, nep-lab, nep-net and nep-ure
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:zewdip:279575

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