受限择校条件下的事前公平:一种实验方法

IF 1.9 Q2 ECONOMICS
Haoqi Tong , Xiaohan Zhong
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引用次数: 0

摘要

在大学录取机制中,学生通常通过使用他们真实能力的嘈杂信号(例如,他们的考试成绩)来与大学匹配。因此,在事前公平性方面,匹配结果可能是不完美的,这意味着将能力更高的学生匹配到更好的大学。为了实现事前公平,我们考虑通过在波士顿和连续独裁机制下设计不同约束水平的处理方法,在考试前或考试后提交偏好,来约束学生对大学的选择。与不受约束的机制和考试后提交偏好的机制相比,在波士顿和连续独裁机制下,在考试前提交偏好会增加实现事前公平的概率。然而,实现高度不公平匹配的概率也会增加,导致匹配结果风险更大。学习游戏或为学生提供推荐的均衡策略可以降低这种风险,并进一步提高事前公平性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ex-ante fairness under constrained school choice: An experimental approach

In a college admission mechanism, students are often matched with colleges by using a noisy signal of their true abilities (e.g., their exam scores). The matching outcome thus may be imperfect in terms of ex-ante fairness, which suggests matching students with higher ability to better colleges. To achieve ex-ante fairness, we consider constraining student choice over colleges, by designing treatments with different constraint levels under the Boston and Serial Dictatorship mechanisms, with preference submission before or after the exam. Constraining student choice increases the probability of achieving ex-ante fairness under the Boston and Serial Dictatorship mechanisms with preference submission before the exam, compared with unconstrained mechanisms and mechanisms with preference submission after the exam. However, the probability of achieving highly unfair matching is also increased, resulting in a riskier matching outcome. Learning the game or providing students with recommended equilibrium strategies can decrease this risk and further increase ex-ante fairness.

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