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dc.contributor.authorAthanassoglou, Stergiosen_US
dc.description.abstractConsider a collection of m indivisible objects to be allocated to n agents, where m Ï n. Each agent falls in one of two distinct categories: either he (a) has a complete ordinal ranking over the set of individual objects, or (b) has a set of plausible benchmark von Neumann-Morgenstern (vNM) utility functions in whose non-negative span his true utility is known to lie. An allocation is undominated if there does not exist a preference-compatible profile of vNM utilities at which it is Pareto dominated by another feasible allocation. Given an undominated allocation, we use the tools of linear duality theory to construct a profile of vNM utilities at which it is ex-ante welfare maximizing. A finite set of preference-compatible vNM utility profiles is exhibited such that every undominated allocation is ex-ante welfare maximizing with respect to at least one of them. Given an arbitrary allocation, we provide an interpretation of the constructed vNM utilities as subgradients of a function which measures worst-case domination.en_US
dc.publisherFondazione Eni Enrico Mattei (FEEM) Milanoen_US
dc.relation.ispartofseriesNota di lavoro // Fondazione Eni Enrico Mattei: Sustainable development 11.2011en_US
dc.subject.keywordRandom Assignmenten_US
dc.subject.keywordLinear Programmingen_US
dc.titleEfficient random assignment under a combination of ordinal and cardinal information on preferencesen_US
dc.typeWorking Paperen_US
Appears in Collections:FEEM Working Papers, Fondazione Eni Enrico Mattei

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