Daycare Matching in Japan: Transfers and Siblings

Zhaohong Sun, Yoshihiro Takenami, Daisuke Moriwaki, Yoji Tomita, Makoto Yokoo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we study a daycare matching problem in Japan and report the design and implementation of a new centralized algorithm. There are two features that make this market different from the classical hospital-doctor matching problem: i) some children are initially enrolled and prefer to be transferred to other daycare centers; ii) one family may be associated with two or more children and is allowed to submit preferences over combinations of daycare centers. We revisit some well-studied properties including individual rationality, non-wastefulness, as well as stability, and generalize them to this new setting. We design an algorithm based on integer programming (IP) that captures these properties and conduct experiments on five real-life data sets provided by three municipalities. Experimental results show that i) our algorithm performs at least as well as currently used methods in terms of numbers of matched children and blocking coalition; ii) we can find a stable outcome for all instances, although the existence of such an outcome is not guaranteed in theory.

Original languageEnglish
Title of host publicationAAAI-23 Special Tracks
EditorsBrian Williams, Yiling Chen, Jennifer Neville
PublisherAAAI Press
Pages14487-14495
Number of pages9
ISBN (Electronic)9781577358800
DOIs
Publication statusPublished - Jun 27 2023
Event37th AAAI Conference on Artificial Intelligence, AAAI 2023 - Washington, United States
Duration: Feb 7 2023Feb 14 2023

Publication series

NameProceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023
Volume37

Conference

Conference37th AAAI Conference on Artificial Intelligence, AAAI 2023
Country/TerritoryUnited States
CityWashington
Period2/7/232/14/23

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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