Retirement intentions in the presence of technological change

Pierre-Jean Messe (), Eva Moreno-Galbis and François-Charles Wolff
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Pierre-Jean Messe: GAINS - ARGUMANS - Atelier De Recherche En Gestion De L'université Du Mans - GAINS - Groupe d'Analyse des Itinéraires et des Niveaux Salariaux - UM - Le Mans Université, TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique
Eva Moreno-Galbis: GRANEM - Groupe de Recherche Angevin en Economie et Management - UA - Université d'Angers - AGROCAMPUS OUEST - Institut National de l'Horticulture et du Paysage, UCL IRES - Institut de recherches économiques et sociales - UCL - Université Catholique de Louvain = Catholic University of Louvain, GAINS - ARGUMANS - Atelier De Recherche En Gestion De L'université Du Mans - GAINS - Groupe d'Analyse des Itinéraires et des Niveaux Salariaux - UM - Le Mans Université, TEPP - Travail, Emploi et Politiques Publiques - UPEM - Université Paris-Est Marne-la-Vallée - CNRS - Centre National de la Recherche Scientifique
Authors registered in the RePEc Author Service: Eva Moreno Galbis

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Abstract: This paper investigates the role of productivity as a determinant of the worker's retirement intentions. Using an overlapping generation framework, we analyze the retirement decision of a cohort of workers being ability heterogeneous. The labor market is endogenously segmented between workers having the required ability level to occupy jobs where the productivity is indexed to the technological state via on-the-job training (complex jobs) and the rest of workers, who are employed in positions where productivity is relatively deteriorated in case of technological change due to the absence of on-the-job training (simple jobs). In case of technological change, workers in complex jobs delay their retirement date, whereas workers in simple positions will not modify their retirement decision unless taxes change. Using data from France, we find that after a technological change, older workers who benefit from a skill upgrading training program have a higher intended retirement age.

Keywords: OLG; Retirement intentions; Technological change; Training (search for similar items in EconPapers)
Date: 2014-12
Note: View the original document on HAL open archive server: https://hal.science/hal-03914227v1
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Published in IZA Journal of Labor Economics, 2014, 3 (1), pp.8. ⟨10.1186/2193-8997-3-8⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03914227

DOI: 10.1186/2193-8997-3-8

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