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...

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Detaylı Bibliyografya
Yazar: Brussevich, Mariya
Diğer Yazarlar: Dabla-Norris, Era, Khalid, Salma
Materyal Türü: Dergi
Dil:English
Baskı/Yayın Bilgisi: Washington, D.C. : International Monetary Fund, 2019.
Seri Bilgileri:IMF Working Papers; Working Paper ; No. 2019/091
Online Erişim:Full text available on IMF
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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