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   <subfield code="z">9781498303743</subfield>
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   <subfield code="a">1018-5941</subfield>
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   <subfield code="a">Brussevich, Mariya.</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
   <subfield code="a">Is Technology Widening the Gender Gap? : </subfield>
   <subfield code="b">Automation and the Future of Female Employment /</subfield>
   <subfield code="c">Mariya Brussevich, Era Dabla-Norris, Salma Khalid.</subfield>
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   <subfield code="a">Washington, D.C. :</subfield>
   <subfield code="b">International Monetary Fund,</subfield>
   <subfield code="c">2019.</subfield>
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   <subfield code="a">1 online resource (37 pages)</subfield>
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   <subfield code="a">IMF Working Papers</subfield>
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   <subfield code="a">&lt;strong&gt;Off-Campus Access:&lt;/strong&gt; No User ID or Password Required</subfield>
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   <subfield code="a">&lt;strong&gt;On-Campus Access:&lt;/strong&gt; No User ID or Password Required</subfield>
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   <subfield code="a">Electronic access restricted to authorized BRAC University faculty, staff and students</subfield>
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   <subfield code="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.</subfield>
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   <subfield code="a">Mode of access: Internet</subfield>
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   <subfield code="a">Dabla-Norris, Era.</subfield>
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   <subfield code="a">Khalid, Salma.</subfield>
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  <datafield tag="830" ind1=" " ind2="0">
   <subfield code="a">IMF Working Papers; Working Paper ;</subfield>
   <subfield code="v">No. 2019/091</subfield>
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   <subfield code="z">Full text available on IMF</subfield>
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