DIGITAL SKILLS, STEM OCCUPATION, AND JOB AUTOMATION RISK AMONG THE OLDER WORKERS IN THE US
Takashi Yamashita, Donnette Narine, Runcie Chidebe, Phyllis Cummins, Jenna Kramer, Rita Karam · 2023
Read DIGITAL SKILLS, STEM OCCUPATION, AND JOB AUTOMATION RISK AMONG THE OLDER WORKERS IN THE US by Takashi Yamashita, Donnette Narine, Runcie Chidebe, Phyllis Cummins, Jenna Kramer, Rita Karam (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10738018.txt.
Description
Takashi Yamashita and co-authors ask what shields older American workers from job automation, in this 2023 study. Routine jobs face the highest automation risk, and older workers often trail in digital skills. The team analyzed a national sample of over fifteen hundred workers aged fifty to seventy-four, with tested digital problem-solving scores and occupation-based risk estimates.
Stronger digital skills went with lower automation risk, and so did holding a science or technical job, even after many background factors were held equal. The authors urge training and policy that build digital skill among older and non-technical workers.
Catalog record
| CREATOR | Takashi Yamashita, Donnette Narine, Runcie Chidebe, Phyllis Cummins, Jenna Kramer, Rita Karam |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 2 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |