Reducing Waiting Children with Daycare Search Map: Evidence from an RCT in Shibuya City

14 Pages Posted: 16 May 2023

See all articles by Daisuke Moriwaki

Daisuke Moriwaki

AILab, CyberAgent, Inc.

Aisu Takida

Waseda University

Kentaro Goto

CyberAgent, Inc

Takumi Yoshikawa

Independent

Date Written: April 28, 2023

Abstract

We document the result of a randomized controlled experiment on a daycare center application system developed by the authors. The new application system, Daycare Search Map, allows users to easily obtain important information, such as travel distance, vacancies, facilities, and environment. Our RCT showed that the Search Map increases the length of the rank order list by approximately 37% compared to the control, enables parents to find daycare centers 39% closer, and improves the efficiency of information gathering and the willingness to enroll children in the chosen daycare. Furthermore, simulation analysis suggested that the number of children on waiting lists could be reduced by approximately 37\%. The result indicates that the reduction of information acquisition cost leads to the optimal rank order list of parents and improves social welfare.

Keywords: Matching, Daycare Center, Experiment, Randomized Control Trial, Information Intervention, Information Acquisition

JEL Classification: D83, I21, I28

Suggested Citation

Moriwaki, Daisuke and Takida, Aisu and Goto, Kentaro and Yoshikawa, Takumi, Reducing Waiting Children with Daycare Search Map: Evidence from an RCT in Shibuya City (April 28, 2023). Available at SSRN: https://ssrn.com/abstract=4431332 or http://dx.doi.org/10.2139/ssrn.4431332

Daisuke Moriwaki (Contact Author)

AILab, CyberAgent, Inc. ( email )

Tokyo
Japan

Aisu Takida

Waseda University

Kentaro Goto

CyberAgent, Inc

Takumi Yoshikawa

Independent

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