文献类型：期刊文献

英文题名：Presenting Objects for Random Allocation

作者：Liu, Peng[1]; Xu, Sijia[2]

机构：[1] Faculty of Economics and Management, East China Normal University, Shanghai, China; [2] School of Business, East China University of Science and Technology, Shanghai, 200237, China

年份：2022

外文期刊名：SSRN

收录：EI(收录号：20220369630)

语种：英文

摘要：For random allocation, whether a desirable rule exists hinges on the domain of agents' preferences, whose formation is affected by how objects are presented. We hence propose a model studying how to present objects so that the induced preference domain allows for designing a good rule. Motivated by practices in reality, we model the objects as combinations of several attribute values and a presentation of objects concerns a choice of presenting attributes and a ranking of them. Agents are assumed to formulate their preferences in a lexicographic manner according to the given presentation. We show that, the domain of preferences induced by a presentation allows for a strategy-proof, efficient, and envy-free rule if and only if the presented attributes are conditionally binary. Under two technical conditions on the number of objects, this result still holds when envy-freeness is weakened to equal treatment of equals. ? 2022, The Authors. All rights reserved.