A Factorial Survey on Sickness Presenteeism

Joachim Gerich; Natalie Herdegen; Andreas Koch; Martin Kroczek; Philipp Kugler; Sophie-Charlotte Meyer; Mella Perleberg; Jochen Späth

doi:10.1515/jbnst-2025-0039

A Factorial Survey on Sickness Presenteeism

Joachim Gerich
, Natalie Herdegen
, Andreas Koch
, Martin Kroczek^*
, Philipp Kugler
, Sophie-Charlotte Meyer
, Mella Perleberg
, Jochen Späth

^*Corresponding author for this work

Department of Empirical Social Research

Research output: Contribution to journal › Article › peer-review

Abstract

We present new data from a factorial survey experiment on sickness
presenteeism, collected as a follow-up to the 2024 BIBB/BAuA Employment Survey – a
representative survey of the German workforce. The factorial survey uses hypothetical
scenarios to examine how employees decide between going to work, calling
in sick, or working from home when experiencing illness. Scenarios systematically
vary dimensions such as symptom severity, contagiousness, attendance pressure,
and workload. Sub-experiments address performance pressure and period pain
presenteeism. The dataset also includes measures on motivational drivers and
workday adjustments, providing detailed, causal insights into sickness-related
decision-making in contemporary work environments.

Original language	English
Number of pages	11
Journal	Jahrbücher für Nationalökonomie und Statistik
DOIs	https://doi.org/10.1515/jbnst-2025-0039
Publication status	Published - 2025

Fields of science

504 Sociology
303 Health Sciences
504007 Empirical social research

JKU Focus areas

Sustainable Development: Responsible Technologies and Management
Digital Transformation

Access to Document

10.1515/jbnst-2025-0039Licence: CC BY

Cite this

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AU - Gerich, Joachim

AU - Herdegen, Natalie

AU - Koch, Andreas

AU - Kroczek, Martin

AU - Kugler, Philipp

AU - Meyer, Sophie-Charlotte

AU - Perleberg, Mella

AU - Späth, Jochen

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AB - We present new data from a factorial survey experiment on sickness presenteeism, collected as a follow-up to the 2024 BIBB/BAuA Employment Survey – a representative survey of the German workforce. The factorial survey uses hypothetical scenarios to examine how employees decide between going to work, calling in sick, or working from home when experiencing illness. Scenarios systematically vary dimensions such as symptom severity, contagiousness, attendance pressure, and workload. Sub-experiments address performance pressure and period pain presenteeism. The dataset also includes measures on motivational drivers and workday adjustments, providing detailed, causal insights into sickness-related decision-making in contemporary work environments.

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