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 firms' advertised gender preferences in a population of ads on a Chinese internet job board, and interpret these patterns using a simple employer search model. The model allows us to distinguish firms' underlying gender preferences from firms' propensities to restrict their search to...

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...

Can having more education than a job requires reduce one's chances of being offered the job? We study this question in a sample of applications to jobs that are posted on an urban Chinese website. We find that being overqualified in this way does not reduce the success rates of...