HEC-Ecole de gestion de l'Université de Liège
HEC-Ecole de gestion de l'Université de Liège

The Determinants of the Absenteeism Costs: Evidence from a Belgian Hospital

Klinges, Giulia ULiège
Promotor(s) : Lefevre, Mélanie ULiège
Date of defense : 17-Jun-2019/27-Jun-2019 • Permalink :
Title : The Determinants of the Absenteeism Costs: Evidence from a Belgian Hospital
Author : Klinges, Giulia ULiège
Date of defense  : 17-Jun-2019/27-Jun-2019
Advisor(s) : Lefevre, Mélanie ULiège
Committee's member(s) : Schoenmaeckers, Jérome ULiège
Verlinden, Heidi 
Language : English
Number of pages : 57
Keywords : [en] absenteeism
[en] costs
[en] hospital
[en] health
[en] prevention
[en] absences
Discipline(s) : Business & economic sciences > Special economic topics (health, labor, transportation...)
Research unit : Liantis Occupational Health and Safety Service
Target public : Researchers
Professionals of domain
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en sciences économiques, orientation générale, à finalité spécialisée en Economics and Society
Faculty: Master thesis of the HEC-Ecole de gestion de l'Université de Liège


[en] This study assesses the association between different absenteeism-related factors and the
economic costs related to it in a Belgian hospital from 2014 to 2016. During this time 1,692
unique employees worked in this hospital who cost the employer in total 2,071,000.75 euro
in terms of direct absenteeism costs. After reviewing the literature about the determinants
of absenteeism and the costs and gains related to it, a descriptive analysis is done to show
general tendencies and correlations between the variables. It follows an econometric analysis in which multivariate regression models are used to detect the association between
the variables. The direct absenteeism costs are regressed on the following factors: gender,
age, health status, statute, past absenteeism behavior, seniority, weather conditions, number of legal holidays and the number of influenza incidences in Belgium. Several regression
methods are used which give different results



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  • Klinges, Giulia ULiège Université de Liège > Master sc. éco., or. gén., à fin.


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