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Pareto optimal matchings with lower quotas

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  • Cechlárová, Katarína
  • Fleiner, Tamás

Abstract

We consider the problem of allocating applicants to courses, where each applicant has a capacity, possibly greater than 1, and a subset of acceptable courses that she ranks in a strict order of preference. Each course has a lower and an upper quota, indicating that if it is assigned some applicants then their number has to be between these two bounds. We further suppose that applicants extend their preferences over courses to preferences over bundles of courses lexicographically.

Suggested Citation

  • Cechlárová, Katarína & Fleiner, Tamás, 2017. "Pareto optimal matchings with lower quotas," Mathematical Social Sciences, Elsevier, vol. 88(C), pages 3-10.
    • Handle: RePEc:eee:matsoc:v:88:y:2017:i:c:p:3-10
    DOI: 10.1016/j.mathsocsci.2017.03.007
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    References listed on IDEAS

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    3. Ehlers, Lars & Hafalir, Isa E. & Yenmez, M. Bumin & Yildirim, Muhammed A., 2014. "School choice with controlled choice constraints: Hard bounds versus soft bounds," Journal of Economic Theory, Elsevier, vol. 153(C), pages 648-683.
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    Cited by:

    1. Madhav Raghavan, 2017. "Serial Priority in Project Allocation: A Characterisation," Cahiers de Recherches Economiques du Département d'économie 17.17, Université de Lausanne, Faculté des HEC, Département d’économie.
    2. Andreas Darmann & Janosch Döcker & Britta Dorn & Sebastian Schneckenburger, 2022. "Simplified group activity selection with group size constraints," International Journal of Game Theory, Springer;Game Theory Society, vol. 51(1), pages 169-212, March.

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