论文标题
在纽约市的发现计划中发现机会:竞争激烈的市场处于不利地位的学生
Discovering Opportunities in New York City's Discovery Program: Disadvantaged Students in Highly Competitive Markets
论文作者
论文摘要
Discovery计划(DISC)是纽约市教育部(NYC DOE)使用的政策,以增加从低社会经济背景到专业高中的学生的招生人数。这项政策对增加了这些学校的弱势学生人数发挥了作用。但是,假设学生更多地关心他们被分配给的学校,而不是他们所占据的座位类型(\ emph {school占据座位的假设}),我们使用最近12个学年的数据进行了我们的经验分析,表明每年在每年的弱势群体中创建约950对群体内阻塞对,每年都会影响大约650名脱离股份的学生。此外,我们发现该计划不尊重改进,因此无意间创造了表现不佳的动机。这些实验结果通过我们的理论分析证实。 为了减轻光盘引起的担忧,我们探讨了两种替代政策:少数派储备(MR)和联合座位分配(JSA)机制。作为我们的主要理论贡献,我们介绍了市场的特征,即我们认为竞争力很高,并且我们表明,在这种情况下,JSA为所有处于弱势学生而主导了MR。我们提供了足够的条件,可以验证高竞争力。来自纽约DOE的数据满足了较高的竞争条件,对于此数据集,我们的经验结果证实了我们的理论预测,显示了JSA的优势。鉴于可以通过简单地修改具有响应性偏好列表的经典递延接受算法来实现JSA,因此,我们相信,当学校座位座位假设成立时,可以通过实施JSA机制来更好地更改发现程序,从而使JSA机制变得更好,该机制尤其领导了对出色的出色分发的学生的一致性。
Discovery program (DISC) is a policy used by the New York City Department of Education (NYC DOE) to increase the number of admissions of students from low socio-economic background to specialized high schools. This policy has been instrumental in increasing the number of disadvantaged students attending these schools. However, assuming that students care more about the school they are assigned to rather than the type of seat they occupy (\emph{school-over-seat hypothesis}), our empirical analysis using data from 12 recent academic years shows that DISC creates about 950 in-group blocking pairs each year amongst disadvantaged students, impacting about 650 disadvantaged students every year. Moreover, we find that this program does not respect improvements, thus unintentionally creating an incentive to under-perform. These experimental results are confirmed by our theoretical analysis. In order to alleviate the concerns caused by DISC, we explore two alternative policies: the minority reserve (MR) and the joint-seat allocation (JSA) mechanisms. As our main theoretical contribution, we introduce a feature of markets, that we term high competitiveness, and we show that under this condition, JSA dominates MR for all disadvantaged students. We give sufficient conditions under which high competitiveness is verified. Data from NYC DOE satisfies the high competitiveness condition, and for this dataset our empirical results corroborate our theoretical predictions, showing the superiority of JSA. Given that JSA can be implemented by a simple modification of the classical deferred acceptance algorithm with responsive preference lists, we believe that, when the school-over-seat hypothesis holds, the discovery program can be changed for the better by implementing the JSA mechanism, leading in particular to aligned incentives for the top-performing disadvantaged students.