EconPapers    
Economics at your fingertips  
 

Does Pain Lead to Job Loss? A Panel Study for Germany

Alan Piper, David Blanchflower and Alex Bryson

No 21-19, DoQSS Working Papers from Quantitative Social Science - UCL Social Research Institute, University College London

Abstract: The cross-sectional association between pain and unemployment is well-established. But the absence of panel data containing data on pain and labor market status has meant less is known about the direction of any causal linkage. Those longitudinal studies that do examine the link between pain and subsequent labor market transitions suggest results are sensitive to the measurement of pain and model specification We contribute to this literature using large-scale panel data from the German Socio-Economic Panel (GSOEP) for the period 2002 to 2018. We show that pain leads to job loss. Workers suffering pain are more likely than others to leave their job for unemployment or economic inactivity. This probability rises with the frequency of the pain suffered in the previous month. The effect persists having accounted for fixed unobserved differences across workers, is apparent among those who otherwise report good general health and is robust to the inclusion of controls for mental health, life satisfaction and the employee’s occupation

Keywords: pain; health; unemployment; job loss; economic inactivity; underemployment; panel analysis; GSOEP (search for similar items in EconPapers)
JEL-codes: I10 J60 J64 (search for similar items in EconPapers)
Date: 2021-05-01
New Economics Papers: this item is included in nep-hea, nep-lab and nep-ltv
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://repec.ioe.ac.uk/REPEc/pdf/qsswp2119.pdf (application/pdf)

Related works:
Working Paper: Does Pain Lead to Job Loss? A Panel Study for Germany (2021) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:qss:dqsswp:2119

Access Statistics for this paper

More papers in DoQSS Working Papers from Quantitative Social Science - UCL Social Research Institute, University College London Quantitative Social Science, Social Research Institute, 55-59 Gordon Square, London WC1H 0NU. Contact information at EDIRC.
Bibliographic data for series maintained by Dr Neus Bover Fonts ().

 
Page updated 2025-03-22
Handle: RePEc:qss:dqsswp:2119