Can older workers stay productive? The role of ICT skills and training
Do Won Kwak () and
Journal of Asian Economics, 2022, vol. 79, issue C
This paper quantitatively examines the effects of aging on labor productivity using individual worker data in Korea. We find that information and communications technology (ICT) skills and participation in job-related training can help older workers stay productive. The estimation results present that ICT skills, a measure incorporating an individual’s proficiency in ICT skills and their utilization in the workplace, has a positive effect on the wages of the older workers aged 50–64 with a high level of education or in a skill-intensive occupation. Job training also has a significant positive effect on the wages of older workers. These results imply that compared to younger workers, well-educated older workers can obtain greater productivity increase through ICT skill attainment and their adequate use, and job-training. The evidence suggests that a productivity decrease in line with the aging process can be mitigated by training aging workers to equip themselves with ICT skills.
Keywords: Aging; Education; Information and communications technology; Productivity; Skill; Training (search for similar items in EconPapers)
JEL-codes: J14 J24 J31 O47 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
Working Paper: Can older workers stay productive? The role of ICT skills and training (2021)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:asieco:v:79:y:2022:i:c:s1049007821001664
Access Statistics for this article
Journal of Asian Economics is currently edited by C. Wiemer
More articles in Journal of Asian Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().