SOEP-LEE2: Linking Surveys on Employees to Employers in Germany

Matiaske Wenzel (), Schmidt Torben Dall (), Halbmeier Christoph (), Maas Martina (), Holtmann Doris (), Carsten Schröder, Böhm Tamara (), Liebig Stefan () and Alexander Kritikos
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Matiaske Wenzel: Institute for Employment Relations and Labour, Helmut Schmidt University, Hamburg, Germany
Schmidt Torben Dall: Institute for Employment Relations and Labour, Helmut Schmidt University, Hamburg, Germany
Halbmeier Christoph: Institute for Employment Relations and Labour, Helmut Schmidt University, Hamburg, Germany
Maas Martina: Institute for Employment Relations and Labour, Helmut Schmidt University, Hamburg, Germany
Holtmann Doris: Institute for Employment Relations and Labour, Helmut Schmidt University, Hamburg, Germany
Böhm Tamara: German Institute for Economic Research (DIW), Berlin, Germany
Liebig Stefan: Freie Universität, Berlin, Germany

Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 2024, vol. 244, issue 5-6, 671-684

Abstract: This article presents the new linked employee-employer study of the Socio-Economic Panel (SOEP-LEE2), which offers new research opportunities for various academic fields. In particular, the study contains two waves of an employer survey for persons in dependent work that is also linkable to the SOEP, a large representative German annual household panel (SOEP-LEE2-Core). Moreover, SOEP-LEE2 includes two waves of self-employed surveys based on self-employed in the SOEP-Core (SOEP-LEE2-Self-employed) and three additional representative employer surveys, independent of the SOEP in terms of sampling employers (SOEP-LEE2-Compare). Survey topics include digitalisation and cybersecurity, human capital formation, COVID-19, and human resource management. Here, we describe the content, survey design, and comparability of the different datasets in the SOEP-LEE2 to potential users in different disciplines of research.

Keywords: employment relations; human resource management; linked employee-employer data; SOEP; SOEP-LEE2; survey design (search for similar items in EconPapers)
JEL-codes: C81 C83 D21 J01 M12 M50 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:jns:jbstat:v:244:y:2024:i:5-6:p:671-684:n:1001

DOI: 10.1515/jbnst-2023-0031

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