Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This paper analyzes the effect of work disability on the job involvement of workers aged 50–65 living in Europe. We elicit a measure of job involvement from a question asking respondents to think about their job and declare whether they would like to retire as early as they can. We exploit objective health indicators and anchoring vignettes to enhance the comparability across individuals of work disability self-assessments. Individuals’ evaluations of their health-related work limitations are found to be mildly affected by justification bias but to depend on individual heterogeneity in reporting behaviour. Work disability significantly reduces the job involvement of workers. After controlling for individual fixed-effects and an extensive set of time-varying covariates, moving from the first to the third quartile of the work disability distribution is associated with a 8% increase (4 percentage points) in the probability of desiring to retire as soon as possible. The effect is larger for blue-collar workers. Justification bias and heterogeneity in reporting behaviour do not alter the magnitude of these effects.11We thank the Editor and two anonymous referees for their comments. We are also grateful to Marco Bertoni and the participants at the workshop “The Labour Market with an Ageing Population” (2018) organized by IFAU and Uppsala University and at the ASSET Annual Meeting (2018) for their suggestions. A previous version of this paper circulated under the title “The effect of work disability on the intention to retire of older workers”. This paper uses data from SHARE Waves 1 and 2 (DOIs: 10.6103/SHARE.w1.600, 10.6103/SHARE.w2.600), see Börsch-Supan et al. (2013) for methodological details. The SHARE data collection has been primarily funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812) and FP7 (SHARE-PREP: N°211909, SHARE-LEAP: N°227822, SHARE M4: N°261982). Additional funding from the German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the U.S. National Institute on Aging (U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C) and from various national funding sources is gratefully acknowledged (see www.share-project.org). We gratefully acknowledge financial support from the European Commission – Horizon 2020 (SHARE-COHESION: GA No870628). D. Cavapozzi thanks the VERA center at the Ca Foscari University of Venice for supporting open access publication.