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We audit the job recommender algorithms used by four Chinese job boards by creating fictitious applicant profiles that differ only in their gender. Jobs recommended uniquely to the male and female profiles in a pair differ modestly in their observed characteristics, with female jobs advertising...
Persistent link: https://www.econbiz.de/10015050843
We audit the job recommender algorithms used by four Chinese job boards by creating fictitious applicant profiles that differ only in their gender. Jobs recommended uniquely to the male and female profiles in a pair differ modestly in their observed characteristics, with female jobs advertising...
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When permitted by law, employers sometimes state the preferred age and sex of their employees in job ads. We study this practice using data from one Mexican and three Chinese job boards, showing that it is widely used to request both genders and is especially prevalent in jobs with low skill...
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When employers' explicit gender requests were unexpectedly removed from a Chinese job board overnight, pools of successful applicants became more integrated: women's (men's) share of call-backs to jobs that had requested men (women) rose by 63 (146) percent. The removal 'worked' in this sense...
Persistent link: https://www.econbiz.de/10012602976
This chapter provides a bird's eye view of the literature on gender discrimination. The presentation of studies is grouped into five parts. Part 1 presents evidence of gender discrimination measured via various dimensions in various countries and contexts. Part 2 discusses in detail the gender...
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