Efficient mixtures of priority rules for assigning objects

成果类型:
Article
署名作者:
Harless, Patrick; Phan, William
署名单位:
University of Arizona; North Carolina State University
刊物名称:
GAMES AND ECONOMIC BEHAVIOR
ISSN/ISSBN:
0899-8256
DOI:
10.1016/j.geb.2021.11.009
发表日期:
2022
页码:
73-89
关键词:
Object allocation Priority rules Convex combinations EFFICIENCY Guarantee
摘要:
Equity motivates randomization, but often comes at the cost of efficiency. We study the tradeoff within the strategy-proof family of priority rules. Although randomization over all priority orders is incompatible with efficiency, we characterize the maximal subsets of priority for which randomization preserves efficiency: free-agent and adjacent-three families. Introducing equity measures for asymmetric rules, we show that mixtures within these subfamilies admit probabilistic guarantees that priority rules cannot deliver. (c) 2021 Elsevier Inc. All rights reserved.
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