择校机制设计:结构模型与需求估计

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-12-01 DOI:10.1111/ecin.13193

Zhiyi Xu, Robert G. Hammond

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引用次数: 0

摘要

设计分配公立学校席位的市场是一项至关重要的政策考虑。本文从经济效率、稳定性和战略行为三个方面比较了择校机制的设计。我们使用来自美国大型公立学校系统的数据来估计对学校的需求，这些数据具有反映学生战略成熟度水平的新指标。我们发现保留一组席位以纯抽签方式分配的重要好处。在与我们研究的学校系统有共同特征的环境中，我们的研究结果表明，非选择性标准，如抽奖，会导致讲真话的人数大幅增加。

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Designing school choice mechanisms: A structural model and demand estimation

Designing the markets that allocate public school seats is a crucial policy consideration. This paper compares the design of school choice mechanisms in terms of economic efficiency, stability, and strategic behavior. We estimate demand for schools using data from a large US public school system with novel indicators of students' levels of strategic sophistication. We find important benefits of reserving a set of seats to be assigned by a pure lottery. In settings that share features in common with the school system we study, our findings suggest that non-selective criteria such as lotteries induce a large increase in truth-telling.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.