Soep-Lee2

Linking Surveys on Employees to Employers in Germany

Bibliographic Data

ID22122956
AuthorsWenzel Matiaske (0000-0003-3542-9707, Helmut Schmidt University), Torben Dall Schmidt (0000-0002-7662-1669, Helmut Schmidt University, corresponding author), Christoph Halbmeier (German Institute for Economic Research), Martina Maas (0009-0004-9225-3124, Institute for Employment Relations and Labour, Helmut Schmidt University , Hamburg , Germany), M Sc Dr Ir Azwar Maas (Helmut Schmidt University), Doris Holtmann (Helmut Schmidt University), Carsten Schröder (0000-0002-6406-595X, German Institute for Economic Research), Tamara Böhm (German Institute for Economic Research), Stefan Liebig (0000-0002-9977-6874, Freie Universität Berlin), Alexander S Kritikos (0000-0002-6150-8794, German Institute for Economic Research)
Year2024
Volume244
Issue5-6
Pages671-684
Publication date2024-10-28
Open AccessYes
TypeARTICLE
VenueJahrbucher fur Nationalokonomie und Statistik (JOURNAL)
Journal identifiersISSN: 2366-049X • E-ISSN: 0021-4027
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/jbnst-2023-0031
OpenAlexW4385199283
LanguageEN
Citations received2
References cited7

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

Archaeology · Business · Comparability · Demographic economics · Economic growth · Economics · Geography · German · Human capital · Panel survey · Survey research · Computer Science · Digital Economy and Work Transformation · Employment and Welfare Studies · Engineering · Innovation, Technology, and Society · Mathematics

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