The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis
In recent years, there has been a revival of concerns that automation and digitalisation might after all result in a jobless future. The debate has been fuelled by studies for the US and Europe arguing that a substantial share of jobs is at "risk of computerisation". These studies follow a...
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Paris
OECD Publishing
2016
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Schriftenreihe: | OECD Social, Employment and Migration Working Papers
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Schlagwörter: | |
Links: | https://doi.org/10.1787/5jlz9h56dvq7-en |
Zusammenfassung: | In recent years, there has been a revival of concerns that automation and digitalisation might after all result in a jobless future. The debate has been fuelled by studies for the US and Europe arguing that a substantial share of jobs is at "risk of computerisation". These studies follow an occupation-based approach proposed by Frey and Osborne (2013), i.e. they assume that whole occupations rather than single job-tasks are automated by technology. As we argue, this might lead to an overestimation of job automatibility, as occupations labelled as high-risk occupations often still contain a substantial share of tasks that are hard to automate. Our paper serves two purposes. Firstly, we estimate the job automatibility of jobs for 21 OECD countries based on a task-based approach. In contrast to other studies, we take into account the heterogeneity of workers' tasks within occupations. Overall, we find that, on average across the 21 OECD countries, 9 % of jobs are automatable. The threat from technological advances thus seems much less pronounced compared to the occupation-based approach. We further find heterogeneities across OECD countries. For instance, while the share of automatable jobs is 6 % in Korea, the corresponding share is 12 % in Austria. Differences between countries may reflect general differences in workplace organisation, differences in previous investments into automation technologies as well as differences in the education of workers across countries |
Umfang: | 1 Online-Ressource (34 Seiten) 21 x 29.7cm |
DOI: | 10.1787/5jlz9h56dvq7-en |
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physical | 1 Online-Ressource (34 Seiten) 21 x 29.7cm |
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publishDate | 2016 |
publishDateSearch | 2016 |
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publisher | OECD Publishing |
record_format | marc |
series2 | OECD Social, Employment and Migration Working Papers |
spellingShingle | Arntz, Melanie The Risk of Automation for Jobs in OECD Countries A Comparative Analysis Employment Social Issues/Migration/Health |
title | The Risk of Automation for Jobs in OECD Countries A Comparative Analysis |
title_auth | The Risk of Automation for Jobs in OECD Countries A Comparative Analysis |
title_exact_search | The Risk of Automation for Jobs in OECD Countries A Comparative Analysis |
title_full | The Risk of Automation for Jobs in OECD Countries A Comparative Analysis Melanie Arntz, Terry Gregory and Ulrich Zierahn |
title_fullStr | The Risk of Automation for Jobs in OECD Countries A Comparative Analysis Melanie Arntz, Terry Gregory and Ulrich Zierahn |
title_full_unstemmed | The Risk of Automation for Jobs in OECD Countries A Comparative Analysis Melanie Arntz, Terry Gregory and Ulrich Zierahn |
title_short | The Risk of Automation for Jobs in OECD Countries |
title_sort | the risk of automation for jobs in oecd countries a comparative analysis |
title_sub | A Comparative Analysis |
topic | Employment Social Issues/Migration/Health |
topic_facet | Employment Social Issues/Migration/Health |
url | https://doi.org/10.1787/5jlz9h56dvq7-en |
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