RT Journal Article
T1 Early retired or automatized? Evidence from the survey of health, ageing and retirement in Europe
A1 Casas Aljama, Pablo
A1 Román Díaz, María Concepción
AB This paper measures the implications of the automation process in the labour market for the early retirementdecisions in 26 European countries. In order to perform the analysis, we use microdata from the Survey of Health,Ageing and Retirement in Europe, occupation-level data on automation degree and automation risk and atechnological classification of occupations in 4 terrains. We find that the current technological change is playing asignificant role in the early retirement decisions, although it affects heterogeneously certain groups in the sample(regarding gender, education level and job status). This fact leads to a contradiction between governments tryingto delay retirement ages and labour markets trying to expel workers earlier. Therefore, we conclude that, in orderto elaborate policies on ageing and retirement, the effect of new labour-saving technologies in older worker’sdecisions must be taken into account. We propose that the delay in statutory retirement ages should beaccompanied by training programs and/or policies promoting self-employment for workers at risk of ending theirworking lives prematurely. Furthermore, the programs aimed to relocate middle-age workers displaced fromtheir original occupations should focus on finding a new occupation among those which are less affected byautomation processes.
PB Elsevier
SN 2212-828X
SN 2212-8298
YR 2023
FD 2023
LK https://hdl.handle.net/10272/22215
UL https://hdl.handle.net/10272/22215
LA eng
NO Casas, P., & Román, C. (2023). Early retired or automatized? Evidence from the survey of health, ageing and retirement in Europe. In The Journal of the Economics of Ageing (Vol. 24, p. 100443). Elsevier BV. https://doi.org/10.1016/j.jeoa.2023.100443
NO This work was supported by the Spanish Ministry of Science, Innovationand Universities (Ministerio de Ciencia, Innovaci´on y Universidades)under grant PID2020-115183RB-C22, the Spanish Ministry of Economy,Industry and Competitiveness (Ministerio de Economía, Industria y Competitividad)under grant ECO2017-86402-C2-2-R, and the RegionalGovernment of Andalusia (Junta de Andalucía) through Research GroupSEJ-487 (Spanish Entrepreneurship Research Group – SERG) and grantP20-00733. Pablo Casas also thanks financial support from the SpanishMinistry of Science and Innovation (Ministerio de Ciencia e Innovaci´on)through grant PEJ2018-003473-A.
DS Repositorio Institucional de la Universidad de Huelva
RD 1 jun 2026