Dynamic Incentives in Centralized Matching: The Case of Japanese Daycare

Kan Kuno
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Abstract

This study investigates the strategic behavior of applicants in the Japanese daycare market, where waitlisted applicants are granted additional priority points in subsequent application rounds. Utilizing data from Tokyo's Bunkyo municipality, this paper provides evidence of considerable manipulation, with parents strategically choosing to be waitlisted to enhance the likelihood of their child's admission into more selective daycare centers. I extend the static framework of school choice posited by Agarwal and Somaini (2018) to incorporate dynamic incentives and estimate a structural model that allows for reapplication if waitlisted. Empirical findings indicate that approximately 30% of applicants forgo listing safer options in their initial application, a behavior significantly pronounced among those who stand to benefit from the waitlist prioritization. Counterfactual simulations, conducted under the scenario of no additional waitlist priority, predict a 17.7% decrease in the number of waitlisted applicants and a 1.2% increase in overall welfare. These findings highlight the profound influence of dynamic incentives on applicant behavior and underscore the necessity for reevaluating current priority mechanisms.
集中匹配中的动态激励:以日本日托为例
本研究调查了日本日托市场中申请人的战略行为,在随后的申请轮次中,等待名单的申请人被授予额外的优先级。利用东京文京市的数据,本文提供了大量操纵的证据,父母策略性地选择等待名单,以提高他们的孩子进入更有选择性的日托中心的可能性。我扩展了Agarwal和Somaini(2018)提出的学校选择的静态框架,将动态激励纳入其中,并估计了一个允许在等待名单中重新申请的结构模型。实证研究结果表明,大约30%的申请人在最初的申请中放弃列出更安全的选择,这在那些有望从候补名单优先排序中受益的人中尤为明显。在没有额外的等候名单优先级的情况下进行的反事实模拟预测,等候名单申请人数量将减少17.7%,整体福利将增加1.2%。这些发现强调了动态激励对申请人行为的深刻影响,并强调了重新评估当前优先机制的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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