We embed buying rights into a (repeated) Arrow-Debreu model to study the long-term effects of regulation through buying rights on arising inequality. Our motivation stems from situations that typically call for regulatory interventions, such as rationing, namely, distribution crises in which demand and supply are persistently misaligned. In such settings, scarce resources tend to become increasingly concentrated among more affluent individuals, while the needs of the broader population remain unmet. While fully centralized distribution may be logistically or politically unfeasible, issuing buying rights offers a more practical alternative: they can be implemented digitally, e.g., via tokens traded on online platforms, making them significantly easier to administer. We model a scenario in which a regulator periodically distributes buying rights with the aim of promoting a more equitable allocation. Our contributions include (i) the definition of the (iterated) market where in each round the buying rights are distributed and then traded alongside the resource, (ii) the approximation algorithm of the market-clearing prices in every round, and (iii) the upper bound on \textit{frustration} -- a notion conceptually similar to the Price of Anarchy, but for systems regulated through buying rights, defined as the arising loss in fairness the individual buyers have to take when the distribution is handled via the market.
翻译:我们将购买权嵌入(重复的)阿罗-德布鲁模型,以研究通过购买权进行监管对长期不平等现象的影响。我们的研究动机源于通常需要监管干预的情境,例如配给制——即需求与供给持续错配的分配危机。在此类情境中,稀缺资源往往日益集中于较富裕的个体,而更广泛人群的需求却无法得到满足。虽然完全集中分配在物流或政治上可能不可行,但发行购买权提供了一种更实用的替代方案:它们可以通过数字化方式实施(例如通过在线平台交易的代币),从而显著降低管理难度。我们构建了一个监管者定期分配购买权以促进更公平分配的模型。我们的贡献包括:(i)定义(迭代)市场模型,其中每轮分配购买权后,购买权与资源一同交易;(ii)提出每轮市场出清价格的近似算法;(iii)推导出“受挫度”的上界——该概念在思想上类似于无政府价格,但适用于通过购买权调控的系统,其定义为个体买家在市场分配机制下必须承受的公平性损失。