中文摘要
许多大城市为应对交通与空气污染问题,采取了限制新增车辆牌照数量的政策。由此产生的一个重要问题是,如何在考虑社会效率与公平的同时,将有限的新增牌照配额分配给大量需求者。受这一现实问题启发,我们研究在类似的公共品分配问题中设计简单且最优的机制以权衡效率与公平的问题。我们首先提出一个既具有一般性又简单的真实两组机制框架,然后利用它计算在保证一定公平水平的同时最大化社会效率的最优解。有趣且令人惊讶的是,在关于参与者私人估值的一些自然条件下,我们证明所提出框架内的最优机制始终是先拍卖后摇号(简称ATL)的机制。此外,在该框架及这些条件之外,我们证明ATL机制始终能够保证至少达到最优解效率的$1-c+c^{2}$($c\in[0,1]$为最低公平水平)。当资源稀缺且自然条件成立时,这一近似比在实践中可进一步提升至接近最优。我们进一步建立了这些自然条件与常见价值分布之间的理论联系,证明这些条件在实践中被广泛满足。最后,我们进行了若干实验以验证ATL机制的最优性与稳健性。
Abstract
Many large cities have adopted a policy of restricting the number of new vehicle licenses in order to address the challenges of traffic and air pollution problems. An important question that then arises is how to allocate these limited new license quotas among a large set of demanders while taking both social efficiency and equality into consideration. Inspired by this practical problem, we study the problem of designing simple and optimal mechanisms to tradeoff between efficiency and equality in a similar public goods allocation problem. We first propose a truthful two-group mechanism framework that is both general and simple and then use it to compute the optimal solution that maximizes social efficiency while guaranteeing a certain level of equality. Interestingly and surprisingly, under some natural conditions regarding the players’ private values, we show that the optimal mechanisms within the proposed framework are always the mechanisms that first run an auction and then run a lottery (ATL for short). In addition, beyond the framework and those conditions, we prove that the ATL mechanism can always guarantee at least $1-c+c^{2}$ ($c\in[0,1]$ is the minimum equality level) of the optimal solution efficiency. This approximation ratio can in practice be further improved to near-optimal when resources are scarce and the natural conditions hold. We further establish a theoretical connection between these natural conditions and common value distributions, demonstrating that these conditions are widely satisfied in practice. Finally, we implement several experiments to verify the ATL mechanism’s optimality and robustness.