Born to wait? A study of allocation rules in booking systems 注定等待?预订系统中分配规则的研究

时间:2022-12-15         阅读:

光华讲坛——社会名流与企业家论坛第6380期

主题Born to wait? A study of allocation rules in booking systems 注定等待?预订系统中分配规则的研究

主讲人清华大学经济管理学院 刘潇副教授

主持人工商管理学院 赵琳教授

时间12月20日 10:00-11:00

直播平台及会议ID腾讯会议,会议ID:466120391

主办单位:工商管理学院 科研处

主讲人简介:

刘潇, 清华大学经济管理学院长聘副教授, 2006年本科毕业于中国人民大学, 2012年博士毕业于美国密歇根大学。研究方向为实验经济学、行为经济学、市场设计和信息经济学。目前担任国际期刊Management Science,Journal of Economic Behavior & Organization,Journal of Behavioral and Experimental Economics的Associate Editor。文章发表在Management Science、Games and Economic Behavior、Journal of Development Economics等期刊。

内容简介

When designing allocation rules for scarce goods or services, market designers often face the issue of balancing between efficiency and fairness. Critically, efficiency losses may exhibit various formats and calls for a systematical quantification. We document that a previously understudied source of efficiency loss stemming from queuing can be substantial in many real-world booking systems using first-come-first-served allocation rules. We provide a novel experimental framework that allows us to quantify and compare different sources of efficiency losses across different allocation rules. The theory predicts and lab experiments confirm that the efficiency loss due to opportunity costs of time spent on queuing overwhelms any other efficiency concerns in a booking system based on queuing. However, such loss is almost completely eliminated in a booking system based on lotteries. We also develop and test a novel dual-track system that allows participants to freely choose their preferred allocation rule. We observe a majority prefers the allocation rule based on lotteries over the rule based on queuing.

在为稀缺商品或服务设计分配规则时,市场设计者经常面临效率与公平之间的平衡问题。至关重要的是,效率损失可能表现出多种形式,需要进行系统量化。我们证明,在许多使用先到先得分配规则的现实世界预订系统中,以前未被充分研究的由排队引起的效率损失来源可能很重要。我们提供了一个新颖的实验框架,使我们能够量化和比较不同分配规则下效率损失的不同来源。理论预测和实验室实验证实,由于排队时间的机会成本导致的效率损失压倒了基于排队的预订系统中的任何其他效率问题。然而,这种损失在基于抽签的预订系统中几乎被完全消除。我们还开发并测试了一种新颖的双轨系统,允许参与者自由选择他们喜欢的分配规则。我们观察到大多数人更喜欢基于抽签的分配规则而不是基于排队的规则。

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