文献类型：期刊文献

英文题名：The probabilistic rank random assignment rule and its axiomatic characterization

作者：Chen, Yajing[1]; Harless, Patrick[2]; Jiao, Zhenhua[3]

机构：[1] School of Business, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, China; [2] University of Arizona, Tucson, United States; [3] School of Business, Shanghai University of International Business and Economics, Shanghai, 201620, China

年份：2021

外文期刊名：arXiv

收录：EI(收录号：20210093819)

语种：英文

摘要：This paper considers the problem of randomly assigning a set of objects to a set of agents based on the ordinal preferences of agents. We generalize the well-known immediate acceptance algorithm to the afore-mentioned random environments and define the probabilistic rank rule (PR rule). We introduce two new axioms: sd-rank-fairness, and equal-rank envy-freeness. Sd-rank-fairness implies sd-efficiency. Equal-rank envy-freeness implies equal treatment of equals. Sd-rank-fairness and equal-rank envy-freeness are enough to characterize the PR rule. ? 2021, CC BY-NC-ND.