Masked Evaluations: The Role of Gender Homophily
利用招聘平台数据，研究发现虽然匿名化申请评分无显著性别差异，但评分者与申请者同性别时评分更高，尤其对女性申请者，且语言或其他相似性无法完全解释此现象。
Removing demographic information from job applications has been a proposed solution for reducing gender discrimination and increasing diversity in the hiring process. In this paper, I use a unique data set of job application questions from a hiring platform to explore how gender might still impact masked evaluations. I find that while there is no main gender effect in the scoring of applications, there appear to be scoring patterns consistent with gender homophily. Having applicant-evaluator pairs being of the same gender is positively correlated with higher ratings, particularly for female applicants, and neither the applicant’s language nor other types of similarity appear to fully explain this association.