Replication data for: Regression Discontinuity in Serial Dictatorship: Achievement Effects at Chicago's Exam Schools

Many school and college admission systems use centralized mechanisms to allocate seats based on applicant preferences and school priorities. When tie-breaking uses non-randomly assigned criteria like distance or a test score, applicants with the same preferences and priorities are not directly comparable. The non-lottery setting does generate a kind of local random assignment that opens the door to regression discontinuity designs. This paper introduces a hybrid RD/propensity score empirical strategy that exploits quasi-experiments embedded in serial dictatorship, a mechanism widely used for college and selective K-12 school admissions. We use our approach to estimate achievement effects of Chicago's exam schools.诸多中小学与高校招生体系均采用集中化机制，依据申请者的志愿偏好与院校优先级分配入学名额。当破局规则采用非随机指派的评判标准（如居住地距离或考试分数）时，拥有相同志愿偏好与院校优先级的申请者无法直接进行比较。此类非抽签录取场景实则会产生一类局部随机指派现象，为断点回归设计（Regression Discontinuity Designs）的应用提供了可行路径。本文提出了一种融合断点回归（RD）与倾向得分（Propensity Score）的实证研究策略，该策略利用了嵌入于序列独裁机制（Serial Dictatorship）中的准实验场景——该机制广泛应用于高校与选拔性K-12中学的招生流程中。我们运用该策略估算了芝加哥考试招生中学的学业影响效应。