Medicalisation of Unemployment: An Analysis of Sick Leave for the Unemployed in Germany Using a Three-Level Model

Author:

Linden Philipp12ORCID,Reibling Nadine12ORCID

Affiliation:

1. Fulda University of Applied Sciences, Germany

2. University of Siegen, Germany

Abstract

The study investigates whether sick leave for the unemployed is used to address problems of labour market integration – a process that can theoretically be conceptualised as the medicalisation of unemployment. Estimating a multilevel logistic regression model on a sample of N = 20,196 individuals from the German panel study Labour Market and Social Security (PASS) reveals that, on average, 18% of the unemployed are on sick leave due to poor health. However, given a comparable state of health, the probability increases for men, older individuals and those with lower educational levels. These findings are crucial as they reveal a dual role of sick leave in a context with limited access to disability pensions: as a protective measure for sick, unemployed individuals and as medicalisation of unemployment by excluding those who face non-medical barriers to labour market integration.

Funder

Network for Interdisciplinary Social Policy Research (FIS) of the German Federal Ministry of Labor and Social Affairs

Publisher

SAGE Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3