Please use this identifier to cite or link to this item: https://doi.org/10.1093/workar/waad008
Title: The Skill-Specific Automatability of Aging Workers and Its Impact on Retirement Decisions
Authors: Lee, Zeewan 
Issue Date: 2023
Publisher: Oxford University Press (OUP)
Citation: Lee, Zeewan (2023). The Skill-Specific Automatability of Aging Workers and Its Impact on Retirement Decisions. Work, Aging and Retirement. ScholarBank@NUS Repository. https://doi.org/10.1093/workar/waad008
Abstract: Abstract Research regarding the effects of automation on labor supply often assesses the labor force as a whole and disregards specific effects on aging workers. In light of rapid technological changes in the labor market, we assess the linkage between the automatability of aging workers and their retirement decisions. Based on the theoretical model of task-based technological changes and drawing data from the Health and Retirement Study and O*NET 2000–2018, we create an automatability index based on workers’ primary skills. Using the index as our main explanatory variable in Cox proportional hazards models and logit models, we find that skill-specific automatability increases the retirement likelihood, both in terms of their expected and actual timing of retirement. This work provides empirical evidence that individuals’ automatability renders the notion of “working at old age” less viable, despite the financial and health benefits of staying in the labor force for an extended period. Our findings offer important insights on how to better promote productive aging, for instance, by offering retraining programs for older workers to harness their soft skills to reduce automatability in the labor market.
Source Title: Work, Aging and Retirement
URI: https://scholarbank.nus.edu.sg/handle/10635/238807
ISSN: 2054-4650
DOI: 10.1093/workar/waad008
Appears in Collections:Staff Publications
Elements

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
2023 WORAR Lee.pdfPublished version356.22 kBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.