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Are University Admissions Academically Fair?

机译:大学入学学术是否公平?

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摘要

Admission practices at high-profile universities are often criticized for undermining academic merit. Popular tests for detecting such biases suffer from omitted characteristic bias. We develop a bounds-based test to circumvent this problem. We assume that students who are better qualified on observableswould, on average, appear academically stronger to admission officers based on unobservables. This assumption reveals the sign of differences in admission standards across demographic groups that are robust to omitted characteristics. Applying our methods to admissions data from a British university, we find higher admission standards for men and slightly higher ones for private school applicants, despite equal admission success probability across gender and school background.
机译:备受瞩目的大学入学实践常常因破坏学术功绩而受到批评。用于检测这样的偏差的流行测试遭受省略的特征偏差的困扰。我们开发了基于边界的测试来规避此问题。我们认为,平均而言,在可观察性方面更胜任的学生在学业上比基于不可观察性的招生人员要强。该假设揭示了不同人口群体的入学标准差异的迹象,这些差异对于遗漏的特征具有鲁棒性。将我们的方法应用于英国大学的录取数据中,尽管在性别和学校背景上录取成功的可能性均等,但我们发现男性录取标准较高,而私立学校录取标准稍高。

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