School Choice in a Market Environment: Individual versus Social Expectations

Author:

Canals Catalina1ORCID,Goles Eric1ORCID,Mascareño Aldo2ORCID,Rica Sergio1ORCID,Ruz Gonzalo A.13ORCID

Affiliation:

1. Facultad de Ingeniería y Ciencias, Universidad Adolfo Ibáñez, Av. Diagonal Las Torres 2640, Peñalolén, Santiago, Chile

2. Escuela de Gobierno, Universidad Adolfo Ibáñez, Av. Diagonal Las Torres 2640, Peñalolén, Santiago, Chile

3. Center of Applied Ecology and Sustainability (CAPES-UC), Santiago, Chile

Abstract

School choice is a key factor connecting personal preferences (beliefs, desires, and needs) and school offer in education markets. While it is assumed that preferences are highly individualistic forms of expectations by means of which parents select schools satisfying their internal moral standards, this paper argues that a better matching between parental preferences and school offer is achieved when individuals take into account their relevant network vicinity, thereby constructing social expectations regarding school choice. We develop two related models (individual expectations and social expectations) and prove that they are driven by a Lyapunov function, obtaining that both models converge to fixed points. Also, we assess their performance by conducting computational simulations. While the individual expectations model shows a probabilistic transition and a critical threshold below which preferences concentrate in a few schools and a significant amount of students is left unattended by the school offer, the social expectations model presents a smooth dynamics in which most of the schools have students all the time and no students are left out. We discuss our results considering key topics of the empirical research on school choice in educational market environments and conclude that social expectations contribute to improve information and lead to a better matching between school offer and parental preferences.

Funder

Research Center Millennium Nucleus Models of Crises

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Hybrid Model for Predicting Academic Performance of Engineering Undergraduates;International Journal of Modeling, Simulation, and Scientific Computing;2022-07-30

2. Eric Goles;Automata and Complexity;2022

3. Factors affecting parents’ choice of schools for Grade 1 learners;South African Journal of Childhood Education;2021-06-18

4. HHA: An Attentive Prediction Model for Academic Abnormality;IEEE Access;2020

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