Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/addleton-academic-publishers/the-automatability-of-male-and-female-jobs-technological-unemployment-50DqVbQ2dU
References
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
- Publisher
- Addleton Academic Publishers
- Copyright
- © 2009 Addleton Academic Publishers
- ISSN
- 2164-0262
- eISSN
- 2378-3524
- Publisher site
- See Article on Publisher Site
Abstract
Despite the relevance of the automatability of male and female jobs, only limited research has been conducted on this topic. Using and replicating data from Brookings Institution, CNBC, IWPR, McKinsey, PIAAC, and PwC, we performed analyses and made estimates regarding share of jobs with potential high rates of automation by worker characteristics (%, across countries), the number of women and men in occupations with low and high risk of automation, and in the total workforce (2014–2018, in millions), and share of tasks that could be automated with current technologies (%). The results of a study based on collected data and estimates provide support for our research model. Keywords: job automation; technological unemployment; skill shift; precarious work
Journal
The Journal of Research in Gender Studies – Addleton Academic Publishers
Published: Jan 1, 2019