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Modeling the residential distribution of enrolled students to assess boundary-induced disparities in public school access

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  • Louie John M Rubio
  • Damian N Dailisan
  • Maria Jeriesa P Osorio
  • Clarissa C David
  • May T Lim

Abstract

Given school enrollments but in the absence of a student residence census, we present a gravity-like model to infer the residential distribution of enrolled students across various administrative units. Multi-scale analysis of the effects of aggregation across different administrative levels allows for the identification of administrative units with sub-optimally located schools and highlights the challenges in allocating resources. Using this method, we verify that the current scheme of free cross-enrollment across administrative boundaries is needed in achieving universal education in the Philippines.

Suggested Citation

  • Louie John M Rubio & Damian N Dailisan & Maria Jeriesa P Osorio & Clarissa C David & May T Lim, 2019. "Modeling the residential distribution of enrolled students to assess boundary-induced disparities in public school access," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-15, October.
    • Handle: RePEc:plo:pone00:0222766
    DOI: 10.1371/journal.pone.0222766
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    References listed on IDEAS

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    1. James E. Anderson, 2011. "The Gravity Model," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 133-160, September.
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