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Impact of later retirement on mortality: Evidence from France

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  • Additional Information
    • Contributors:
      Paris School of Economics (PSE); Université Paris 1 Panthéon-Sorbonne (UP1)-École normale supérieure - Paris (ENS-PSL); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École des hautes études en sciences sociales (EHESS)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE); École des hautes études en sciences sociales (EHESS); Paris Jourdan Sciences Economiques (PJSE); Laboratoire d'Economie de Dauphine (LEDa); Institut de Recherche pour le Développement (IRD)-Université Paris Dauphine-PSL; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS); Laboratoire d'Economie et de Gestion des Organisations de Santé (Legos); Université Paris Dauphine-PSL; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL); Max-Planck Institute for Social Law and Social Policy; ANR-17-EURE-0001,PGSE,Ecole d'Economie de Paris(2017); ANR-15-MYBL-0001,LONGLIVES,Policies for longer working lives : understanding interactions withe health and care responsabilities(2015)
    • Publication Information:
      HAL CCSD
      Wiley
    • Publication Date:
      2021
    • Collection:
      École des Ponts ParisTech: HAL
    • Abstract:
      International audience ; This paper investigates the impact of delaying retirement on mortality among the French population. We take advantage of the 1993 pension reform in the private sector to identify the causal effect of an increase in claiming age on mortality. We use administrative data which provide detailed information on career characteristics, dates of birth and death. Our results, precisely estimated, show that an exogenous increase of one year in the claiming age has no significant impact on the probability to die, measured between age 61 and 79, even when we allow for nonlinear effects of treatment intensity. To test the power of our sample to detect statistically significant effects for rare events like death, we compute minimum detectable effects (MDEs). Our MDE estimates suggest that, if an impact of later retirement on mortality would be detectable, it would remain very small in magnitude.
    • Relation:
      info:eu-repo/semantics/altIdentifier/pmid/33711207; hal-04211736; https://pse.hal.science/hal-04211736; PUBMED: 33711207; WOS: 000627907000001
    • Accession Number:
      10.1002/hec.4240
    • Online Access:
      https://doi.org/10.1002/hec.4240
      https://pse.hal.science/hal-04211736
    • Rights:
      http://creativecommons.org/licenses/by-nc-nd/
    • Accession Number:
      edsbas.63D1CE99