Title: The burden of morbidity, productivity and earnings
Language: English
Authors: Endel, Florian 
Holl, Jürgen 
Wagner-Pinter, Michael 
Category: Research Article
Keywords: Burden of morbidity; Wage; earnings function; Matched administrative health data
Issue Date: 2019
Journal: Empirica
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.
DOI: 10.1007/s10663-019-09449-2
Library ID: AC15532390
URN: urn:nbn:at:at-ubtuw:3-7709
ISSN: 1573-6911
Organisation: E194 - Institut für Information Systems Engineering 
Publication Type: Article
Appears in Collections:Article

Files in this item:

Show full item record

Page view(s)

checked on Mar 1, 2021


checked on Mar 1, 2021

Google ScholarTM


This item is licensed under a Creative Commons License Creative Commons