This paper studies a house allocation problem in a networked housing market, where agents can invite others to join the system in order to enrich their options. Top Trading Cycle is a well-known matching mechanism that achieves a set of desirable properties in a market without invitations. However, under a tree-structured networked market, existing agents have to strategically propagate the barter market as their invitees may compete in the same house with them. Our impossibility result shows that TTC cannot work properly in a networked housing market. Hence, we characterize the possible competitions between inviters and invitees, which lead agents to fail to refer others truthfully (strategy-proof). We then present a novel mechanism based on TTC, avoiding the aforementioned competition to ensure all agents report preference and propagate the barter market truthfully. Unlike the existing mechanisms, the agents' preferences are less restricted under our mechanism. Furthermore, we show by simulations that our mechanism outperforms the existing matching mechanisms in terms of the number of swaps and agents' satisfaction.
翻译:本文研究了网络住房市场中的房屋分配问题,其中,代理可以邀请其他人加入系统以丰富他们的选择。顶层交易循环是一种在没有邀请的市场中实现一组理想属性的良好匹配机制。然而,在树状结构的网络化市场中,现有的代理必须有策略地推广交换市场,因为他们的受邀者可能与他们竞争同一所房子。我们的不可能结果表明,TTC在网络住房市场中无法正常工作。因此,我们表征了邀请者和被邀请者之间可能的竞争,这导致代理无法真实地引荐他人(无舞弊)。然后,我们提出了一种基于TTC的新机制,避免了上述竞争,以确保所有代理人真实地报告偏好并传播交换市场。与现有机制不同,我们的机制下代理人的偏好不受限制。此外,我们通过模拟显示,我们的机制在换手数和满意度方面优于现有的匹配机制。