<div class="csl-bib-body">
<div class="csl-entry">Endel, F., Holl, J., & Wagner-Pinter, M. (2019). The burden of morbidity, productivity and earnings. <i>Empirica: Journal of European Economics</i>. https://doi.org/10.1007/s10663-019-09449-2</div>
</div>
People of working age affected by a severe health condition earn less than they would do otherwise. They work fewer hours a week, or fewer weeks a year, or have to make do with lower hourly wages. This paper focuses on the relation between the degree of severity of a health condition and the degree to which this has a depressive effect on earnings. The authors construct a measure for the overall state of health of an individual by looking at the intensity with which the individual interacts with the health care system. This includes the number of visits to general practitioners or specialists, the number of prescriptions filled, the duration of hospital admissions, the days of leave of absence as prescribed by general practitioners. To do so, the paper makes use of data derived from health and employment records of individuals (N = 185,761) having continuously kept residence in Lower Austria from 2006 to 2016 and have participated in labour market activities each year. The HCI-Index (Health Care Interaction Index) derived from the intensity of interaction with the health service system is a measure for the severity of the health condition. It ranges from 0 to 600 among the individuals of the population, with a high concentration between 0 and 10, i.e. little burden of morbidity. About a quarter of the population scores index values of 20 and more. The index scores are used to augment a standard earnings equation. This yields the following results: About half of the population is only burdened with health conditions of a very common kind (HCI score below 10) that hardly depress their annual earnings; a quarter of the population incurs losses between EUR 827 and EUR 1572; a quarter of the population of more than EUR 1572.
en
dc.description.sponsorship
BMVIT K-Projekt DEXHELPP
-
dc.description.sponsorship
Competence Centers for Excellent Technologies (COMET)
-
dc.language
English
-
dc.language.iso
en
-
dc.publisher
Springer Nature
-
dc.relation.ispartof
Empirica: Journal of European Economics
-
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
-
dc.subject
Burden of morbidity
en
dc.subject
Wage
en
dc.subject
earnings function
en
dc.subject
Matched administrative health data
en
dc.title
The burden of morbidity, productivity and earnings
en
dc.type
Article
en
dc.type
Artikel
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.contributor.affiliation
Synthesis Forschung, Vienna, Austria
-
dc.rights.holder
The Author(s) 2019
-
dc.type.category
Original Research Article
-
tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
tuw.version
vor
-
dcterms.isPartOf.title
Empirica: Journal of European Economics
-
tuw.publication.orgunit
E194 - Institut für Information Systems Engineering
-
tuw.publisher.doi
10.1007/s10663-019-09449-2
-
dc.date.onlinefirst
2019-05-18
-
dc.identifier.eissn
1573-6911
-
dc.identifier.libraryid
AC15532390
-
dc.identifier.urn
urn:nbn:at:at-ubtuw:3-7709
-
dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
wb.sci
true
-
item.openaccessfulltext
Open Access
-
item.openairetype
research article
-
item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
-
item.fulltext
with Fulltext
-
item.cerifentitytype
Publications
-
item.languageiso639-1
en
-
item.grantfulltext
open
-
crisitem.author.dept
E194-01 - Forschungsbereich Information und Software Engineering
-
crisitem.author.dept
E017 - Continuing Education Center
-
crisitem.author.dept
Synthesis Forschung, Vienna, Austria
-
crisitem.author.parentorg
E194 - Institut für Information Systems Engineering