Is Technology Widening the Gender Gap? : Automation and the Future of Female Employment /

Using individual level data on task composition at work for 30 advanced and emerging economies, we find that women, on average, perform more routine tasks than men?tasks that are more prone to automation. To quantify the impact on jobs, we relate data on task composition at work to occupation level...

全面介紹

書目詳細資料
主要作者: Brussevich, Mariya
其他作者: Dabla-Norris, Era, Khalid, Salma
格式: 雜誌
語言:English
出版: Washington, D.C. : International Monetary Fund, 2019.
叢編:IMF Working Papers; Working Paper ; No. 2019/091
在線閱讀:Full text available on IMF
LEADER 02020cas a2200265 a 4500
001 AALejournalIMF019152
008 230101c9999 xx r poo 0 0eng d
020 |c 5.00 USD 
020 |z 9781498303743 
022 |a 1018-5941 
040 |a BD-DhAAL  |c BD-DhAAL 
100 1 |a Brussevich, Mariya. 
245 1 0 |a Is Technology Widening the Gender Gap? :   |b Automation and the Future of Female Employment /  |c Mariya Brussevich, Era Dabla-Norris, Salma Khalid. 
264 1 |a Washington, D.C. :  |b International Monetary Fund,  |c 2019. 
300 |a 1 online resource (37 pages) 
490 1 |a IMF Working Papers 
500 |a <strong>Off-Campus Access:</strong> No User ID or Password Required 
500 |a <strong>On-Campus Access:</strong> No User ID or Password Required 
506 |a Electronic access restricted to authorized BRAC University faculty, staff and students 
520 3 |a Using individual level data on task composition at work for 30 advanced and emerging economies, we find that women, on average, perform more routine tasks than men?tasks that are more prone to automation. To quantify the impact on jobs, we relate data on task composition at work to occupation level estimates of probability of automation, controlling for a rich set of individual characteristics (e.g., education, age, literacy and numeracy skills). Our results indicate that female workers are at a significantly higher risk for displacement by automation than male workers, with 11 percent of the female workforce at high risk of being automated given the current state of technology, albeit with significant cross-country heterogeneity. The probability of automation is lower for younger cohorts of women, and for those in managerial positions. 
538 |a Mode of access: Internet 
700 1 |a Dabla-Norris, Era. 
700 1 |a Khalid, Salma. 
830 0 |a IMF Working Papers; Working Paper ;  |v No. 2019/091 
856 4 0 |z Full text available on IMF  |u http://elibrary.imf.org/view/journals/001/2019/091/001.2019.issue-091-en.xml  |z IMF e-Library