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An agent-based model of school choice with information asymmetries
Journal of Simulation ( IF 2.5 ) Pub Date : 2019-10-31 , DOI: 10.1080/17477778.2019.1679674
Diego A. Díaz 1 , Ana María Jiménez 2 , Cristián Larroulet 1
Affiliation  

ABSTRACT

Going from a neighbourhood-based to a choice-based system of school selection can have positive effects on enrolment in higher achievement schools, increasing average student achievement. We develop an Agent-Based model (ABM) that simulates students’ decisions on a heterogeneous agents’ framework with information asymmetries between income levels, allowing to simulate school choice policies and determine their impact on school enrolment and average student achievement. We use data from Santiago schools to initialise the model and study the impact of a discrete information signal of school achievement, as a policy implemented in 2010 in Chile called traffic lights.



中文翻译:

信息不对称的基于代理人的学校选择模型

摘要

从基于社区的选拔制转变为基于选择制的择校制度,可以对成绩较高的学校的入学率产生积极影响,从而提高平均学生成绩。我们开发了一种基于代理的模型(ABM),该模型可以模拟学生在异构代理框架下的决策,并具有收入水平之间的信息不对称性,从而可以模拟择校政策并确定其对入学率和平均学生成绩的影响。我们使用圣地亚哥学校的数据初始化模型,并研究离散的学校成绩信息信号的影响,这是2010年在智利实施的一项政策,即交通信号灯。

更新日期:2019-10-31
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