Representativeness in Business Surveys and Linked Employer Employee Data: Evidence from the SOEP-LEE2 Data for Germany

Aufsätze in Sammelwerken 2024

Wenzel Matiaske, Christoph Halbmeier, Martina Maas, Torben Dall Schmidt

In: Manuel Schulz, Alexander Fay, Oliver Niggemann, Wenzel Matiaske, Detlef Schulz , dtec.bw-Beiträge der Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg: Forschungsaktivitäten im Zentrum für Digitalisierungs- und Technologieforschung der Bundeswehr dtec.bw - Band 2 - 2024
Hamburg:
308-312

Abstract

A central goal of the dtec.bw project SOEP-LEE2 is to provide high-quality data for research in organisational, business, and economic studies. To this end, the project conducted two multi-year surveys among German establishments. The first survey, SOEP-LEE2-Core, is linkable to employee data from the Socio-Economic Panel (SOEP) and is characterized by a complex sampling procedure. The second survey, SOEP-LEE2-Compare, lacks this linkage possibility and has a simpler sampling design. In this article, we evaluate the sampling designs of the two surveys in term of their statistical representativeness. Our results indicate that the more complex sampling design of SOEP-LEE2-Core is susceptible to selective participation in some of the analysed dimensions, resulting in an overly large proportion of employees from the public sector. In contrast, the simpler design of SOEP-LEE2-Compare is less prone to this type of selection and yields more representative data.



Keywords: dtec.bw, Survey design, Data linkage, Employee-first sampling, Representativeness, Socio-Economic Panel (SOEP)
DOI:
https://doi.org/10.24405/16814

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