The Impact of Sickness Absenteeism on Firm Productivity: New Evidence from Belgian Matched Employer–Employee Panel Data

Published date01 January 2020
DOIhttp://doi.org/10.1111/irel.12252
Date01 January 2020
AuthorElena Grinza,François Rycx
The Impact of Sickness Absenteeism on Firm
Productivity: New Evidence from Belgian
Matched EmployerEmployee Panel Data
ELENA GRINZA and FRANC
ßOIS RYCX*
Using rich longitudinal matched employeremployee data for Belgium, we pro-
vide a rst investigation of the impact of sickness absenteeism on rmsproduc-
tivity. To do so, we estimate a production function augmented with a rm-level
measure of sickness absenteeism that we constructed from worker-level informa-
tion on nonworked hours due to illness or injury. We deal with the endogeneity
of inputs and sickness absenteeism by applying a modied version of the semi-
parametric control function method developed by Ackerberg, Caves, and Fraser
(2015), which explicitly takes rm xed unobserved heterogeneity into account.
Our main nding is that, in general, sickness absenteeism substantially dampens
rmsproductivity. However, further analyses show that the impact varies accord-
ing to several workforce and rm characteristics. Sickness absenteeism is more
detrimental to rm productivity when absent workers are high tenure or blue col-
lar. Moreover, it is especially harmful to industrial, capital-intensive, and small
enterprises. These ndings are consistent with the idea that sickness absenteeism
is more problematic when absent workers have in-depth rm-/task-specic knowl-
edge, when the employeeswork is highly interconnected (e.g., along the assem-
bly line), and when rms face more organizational limitations in substituting
absent workers.
Introduction
Sickness absenteeism is a phenomenon that consists in workersabsence
from work due to illness or injury (Niedhammer et al. 1998). According to the
JEL codes: D24, M59, I15.
*The authorsafliations are, respectively, Politecnico di Torino, 10129 Turin, Italy. E-mail: elena.grin-
za@polito.it; Universit
e Libre de Bruxelles, Brussels, Belgium; IZA, Bonn, Germany; Universit
e de Mons,
Mons, Belgium; Universit
e Catholique de Louvain, Louvain, Belgium. E-mail: frycx@ulb.ac.be. We are
most grateful to Statistics Belgium for giving us access to the data. We thank the Editor and two anonymous
reviewers for helpful comments and suggestions. Funding for this research was provided by the Belgian
Science Policy Ofce (BELSPO), within the IPSWICH and IMMIBEL projects. The usual disclaimer
applies.
INDUSTRIAL RELATIONS, DOI: 10.1111/irel.12252. Vol. 59, No. 1 (January 2020). ©2020 Regents of the
Universit y of Calif ornia. Published by Wiley Periodicals, Inc., 350 Main Street, Malden, MA 02148, USA,
and 9600 Garsington Road, Oxford, OX4 2DQ, UK.
150
World Health Organization (WHO 2019), an average of 11.9 days of work per
employee were lost in the EU in 2014 due to illness or injury. The Bureau of
Labor Statistics reports that 2 percent of working time was lost due to sickness
in the United States in 2018 (BLS 2019a).
It has long been acknowledged that sickness absenteeism imposes a consid-
erable cost on advanced industrialized societies (Eurofound 1997, 2010). This
cost is borne by different actors, notably workers, rms, and insurance provi-
ders. Concerning the individual worker, in addition to the pain and suffering
caused by sickness and to the potential extra expenditure on necessary care,
sickness absenteeism often causes a loss in labor income, especially in the case
of long absence periods.
1
Firms are also affected by sickness absenteeism.
They often bear part of the costs of sickness benets. Depending on the insti-
tutional regime, the sickness benets paid by the employers can represent the
totality of the workers income, at least for short-term sickness absence. Firms
typically need to resort to (costly) overtime work or substitute workers to tem-
porarily replace absent workers, thus incurring additional expenses. Apart from
these direct costs, it is widely acknowledged that there is a signicant indirect
cost that rms likely bear due to sickness absence: diminished productivity
(Eurofound 1997, 2010; Gimeno et al. 2004; OECD 2005, 2009b; Whitaker
2001). Overtime work and substitute workers might be less productive than
the absent workers and might not be easy to nd on short notice, especially
under specic circumstances, such as when the rm faces organizational limi-
tations preventing it from optimally stafng its workforce or when absent
workers are those more experienced. Finally, insurance companies, which are
typically the governments in EU countries, also incur a considerable cost due
to sickness absence. Usually, they are required to pay (a share of) the income
of employees that are absent due to sickness. If the workershealth problems
go on for a long time, the workers are more likely to enter disability (OECD
2009b), whereby they typically receive (permanent) disability benets. In sum-
mary, the costs associated with ill health and injuries may potentially have a
substantial effect on a countrys economy.
National and supranational authorities have long tried to estimate the costs
associated with sickness absenteeism. As expected, these costs indeed appear
to be considerable. For instance, in the 1990s, Eurofound (1997) estimated that
sickness absenteeism represented a cost of more than 11 billion pounds (16.3
billion U.S.$) per year in lost production in the UK and more than 60 billion
German marks (34.6 billion U.S.$) in social security insurance paid by
1
Sickness benets usually decrease with the duration of sickness absenteeism. Moreover, the rst day(s)
of sickness absence is/are often not paid, either by the national insurance system or by the employer, so that
the worker loses the totality of the income for that initial period.
The Impact of Sickness Absenteeism on Firm Productivity / 151
employers in Germany. In 1995, Eurofound (1997) estimated that Belgium
spent 93 billion Belgian francs (2.6 billion U.S.$) for sickness benets and 21
billion Belgian francs (0.6 billion U.S.$) for benets on work accidents and
occupational diseases. In more recent years, Eurofound (2010) estimated that
the costs of sickness absenteeism for governments range between 1 percent
and 2 percent of EU countriesgross domestic products. In the United States,
the costs of sickness absenteeism for rms are similarly high. Losses in pro-
duction related to health problems were estimated by Stewart et al. (2003) to
cost U.S. employers a total of 225.8 billion U.S.$ annually.
National governments have thus made it a top policy priority to address
sickness absenteeism. In some countries, such as Sweden, sickness absen-
teeism is even considered an alarming problem: in Sweden, the absenteeism
rate due to sickness is uncommonly high, and the government is urgently tak-
ing active steps to try to enhance peoples health and reduce sickness-related
absences from work (OECD 2005).
However, estimating the actual costs of sickness absenteeism is not an easy
task. The direct costs of sickness absenteeism, which include sickness benets
paid by rms and insurance systems, are difcult to estimate, especially when
it comes to cross-country comparisons, and estimating the indirect effects from
ofcial statistics, such as productivity losses suffered by rms, proves to be
even more complicated, if not impossible (Eurofound 2010).
In this article, we contribute to the measurement of the costs that sickness
absenteeism imposes on society by concentrating on one fundamental aspect:
rm productivity. We focus on rm productivity because productivity growth
is well known to be a crucial determinant of sustained and sustainable eco-
nomic growth (Jorgenson 1988), and the potential for sickness absenteeism to
have a substantial impact on productivity is high. It is essential for researchers
in economic disciplines to understand which factors inuence productivity and
in what way. Although a small but compelling line of literature has deepened
our knowledge of how several labor-related issues impact productivity in
recent years (e.g., Devicienti, Grinza, and Vannoni 2018; Giuliano et al. 2017;
Vandenberghe 2012), there has not been, to our knowledge, any empirical
study analyzing the impact of sickness absenteeism on productivity.
This lack of studies on sickness absenteeism is attributable to data limita-
tions. On the one hand, matched employeremployee data, which allow con-
structing detailed workforce characteristics, including absences, have been
available for a relatively short time (Card, Devicienti, and Maida 2014). On
the other hand, sickness absenteeism has not yet been explicitly analyzed due
to the impossibility of distinguishing between the various types of absenteeism
(Zhang et al. 2017). Instead, a vast literature assessing the determinants and
dynamics of sickness absenteeismwhich resorts to individual-level data
152 / ELENA GRINZA AND FRANC
ßOIS RYCX

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