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...

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...

We study urban, private sector Chinese employers' preferences between workers with and without a local permanent residence permit (hukou) using callback information from an Internet job board. We find that these employers prefer migrant workers to locals who are identically matched to the job's...

We study urban Chinese employers' preferences between workers with and without a local residence permit (hukou) using callback information from an Internet job board serving private sector employers. We find that employers prefer migrant workers to locals who are identically matched to the job's...

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...

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...