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Modeling the Transition to Public School Choice

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Abstract

We develop an agent-based model that captures the dynamic processes related to moving from an educational system in which students are automatically assigned to a neighborhood school to one that gives households more choice among existing and newly formed public schools. Analysis of our model reveals the importance of considering the timing of the entrance of new schools into the system in addition to their quantity and quality. Our model further reveals a range of conditions where the more households emphasize school achievement relative to geographic proximity in their school choice decision, the lower the mean achievement of the district " a paradoxical mismatch between micro- and macro-levels of behavior. We use data from Chicago Public Schools to initialize the model.

Suggested Citation

  • Spiro Maroulis & Eytan Bakshy & Louis Gomez & Uri Wilensky, 2014. "Modeling the Transition to Public School Choice," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(2), pages 1-3.
    • Handle: RePEc:jas:jasssj:2013-39-2
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    Cited by:

    1. Akyol, Metin, 2016. "Do educational vouchers reduce inequality and inefficiency in education?," Economics of Education Review, Elsevier, vol. 55(C), pages 149-167.
    2. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2016. "A Simple Agent-Based Spatial Model of the Economy: Tools for Policy," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(4), pages 1-12.
    3. Joksimović Ljubinka & Manić Slavica, 2018. "Exploring Education and Education Reforms from the Complex Systems Point of View," Economic Themes, Sciendo, vol. 56(1), pages 1-15, April.
    4. Matt Kasman & Brynle Owen & Joshua Hayward, 2017. "A Community-based Complex Systems Approach to High School Completion," Systems Research and Behavioral Science, Wiley Blackwell, vol. 34(3), pages 267-276, May.
    5. Mário Amorim Lopes & Álvaro Santos Almeida & Bernardo Almada-Lobo, 2018. "Forecasting the medical workforce: a stochastic agent-based simulation approach," Health Care Management Science, Springer, vol. 21(1), pages 52-75, March.
    6. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    7. Connie H. Wang & Bin-Tzong Chie & Shu-Heng Chen, 2017. "Transitional student admission mechanism from tracking to mixing: an agent-based policy analysis," Evolutionary and Institutional Economics Review, Springer, vol. 14(1), pages 253-293, June.

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