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School Choice with General Constraints: A Market Design Approach for the Nursery School Waiting List Problem in Japan

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  • Yasunori Okumura

    (Tokyo University of Marine Science and Technology)

Abstract

This study considers a school choice problem with general feasibility constraints. Each student belongs to a grade; and 2 students belonging to the same grade are symmetric, whereas those belonging to different grades can be asymmetric with respect to the feasibility constraint of a school. We introduce five requirements of a matching and a polynomial-time algorithm to derive a matching satisfying them. Because the algorithm is inspired by the nursery school system of Yokohama City, we introduce the system and compare it with the algorithm of this study.

Suggested Citation

  • Yasunori Okumura, 2019. "School Choice with General Constraints: A Market Design Approach for the Nursery School Waiting List Problem in Japan," The Japanese Economic Review, Springer, vol. 70(4), pages 497-516, December.
  • Handle: RePEc:spr:jecrev:v:70:y:2019:i:4:d:10.1111_jere.12212
    DOI: 10.1111/jere.12212
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    1. Patricia Apps & Ray Rees, 2005. "Gender, Time Use, and Public Policy over the Life Cycle," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 21(3), pages 439-461, Autumn.
    2. 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.
    3. Kominers, Scott Duke & Sönmez, Tayfun, 2016. "Matching with slot-specific priorities: theory," Theoretical Economics, Econometric Society, vol. 11(2), May.
    4. Vulkan, Nir & Roth, Alvin E. & Neeman, Zvika (ed.), 2013. "The Handbook of Market Design," OUP Catalogue, Oxford University Press, number 9780199570515, Decembrie.
    5. Daniela Del Boca & Daniela Vuri, 2007. "The mismatch between employment and child care in Italy: the impact of rationing," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(4), pages 805-832, October.
    6. Fragiadakis, Daniel & Troyan, Peter, 2017. "Improving matching under hard distributional constraints," Theoretical Economics, Econometric Society, vol. 12(2), May.
    7. Kawagoe, Toshiji & Matsubae, Taisuke & Takizawa, Hirokazu, 2018. "The Skipping-down strategy and stability in school choice problems with affirmative action: Theory and experiment," Games and Economic Behavior, Elsevier, vol. 109(C), pages 212-239.
    8. Okumura, Yasunori, 2016. "A stable and Pareto efficient update of matching in school choice," Economics Letters, Elsevier, vol. 143(C), pages 111-113.
    9. Afacan, Mustafa Og̃uz & Dur, Umut Mert, 2017. "When preference misreporting is Harm[less]ful?," Journal of Mathematical Economics, Elsevier, vol. 72(C), pages 16-24.
    10. Yuichiro Kamada & Fuhito Kojima, 2015. "Efficient Matching under Distributional Constraints: Theory and Applications," American Economic Review, American Economic Association, vol. 105(1), pages 67-99, January.
    11. Aytek Erdil & Haluk Ergin, 2008. "What's the Matter with Tie-Breaking? Improving Efficiency in School Choice," American Economic Review, American Economic Association, vol. 98(3), pages 669-689, June.
    12. Kitahara, Minoru & Okumura, Yasunori, 2019. "On the number of employed in the matching model," Journal of Mathematical Economics, Elsevier, vol. 83(C), pages 63-69.
    13. John Kennes Jr. & Daniel Monte Jr. & Norovsambuu Tumennasan Jr., 2014. "The Day Care Assignment: A Dynamic Matching Problem," American Economic Journal: Microeconomics, American Economic Association, vol. 6(4), pages 362-406, November.
    14. Atila Abdulkadiroglu & Tayfun Sönmez, 2003. "School Choice: A Mechanism Design Approach," American Economic Review, American Economic Association, vol. 93(3), pages 729-747, June.
    15. Kojima, Fuhito, 2012. "School choice: Impossibilities for affirmative action," Games and Economic Behavior, Elsevier, vol. 75(2), pages 685-693.
    16. Mizuki Kawabata, 2014. "CHILDCARE ACCESS AND EMPLOYMENT: THE CASE OF WOMEN WITH PRESCHOOL-AGED CHILDREN IN TOKYO[“Re-use of]," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 26(1), pages 40-56, March.
    17. Balinski, Michel & Sonmez, Tayfun, 1999. "A Tale of Two Mechanisms: Student Placement," Journal of Economic Theory, Elsevier, vol. 84(1), pages 73-94, January.
    18. Crawford, Vincent P., 1991. "Comparative statics in matching markets," Journal of Economic Theory, Elsevier, vol. 54(2), pages 389-400, August.
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    Cited by:

    1. Yamaguchi, Tomoaki & Yahiro, Kentaro & Yokoo, Makoto, 2019. "Student-Project-Resource Matching-Allocation Problems: Game Theoretic Analysis," MPRA Paper 92720, University Library of Munich, Germany.
    2. Yasushi Kawase & Hanna Sumita & Yu Yokoi, 2022. "Random Assignment of Indivisible Goods under Constraints," Papers 2208.07666, arXiv.org.
    3. Minoru Kitahara & Yasunori Okumura, 2021. "Improving efficiency in school choice under partial priorities," International Journal of Game Theory, Springer;Game Theory Society, vol. 50(4), pages 971-987, December.
    4. Kitahara, Minoru & Okumura, Yasunori, 2019. "On the number of employed in the matching model," Journal of Mathematical Economics, Elsevier, vol. 83(C), pages 63-69.

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    More about this item

    Keywords

    C78; D47;

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design

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