Arbeitspapier
Efficient random assignment under a combination of ordinal and cardinal information on preferences
Consider 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.
- Language
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Englisch
- Bibliographic citation
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Series: Nota di Lavoro ; No. 11.2011
- Classification
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Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Microeconomic Behavior: Underlying Principles
Welfare Economics: General
- Subject
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Random Assignment
Efficiency
Duality
Linear Programming
- Event
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Geistige Schöpfung
- (who)
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Athanassoglou, Stergios
- Event
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Veröffentlichung
- (who)
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Fondazione Eni Enrico Mattei (FEEM)
- (where)
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Milano
- (when)
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2011
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
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Object type
- Arbeitspapier
Associated
- Athanassoglou, Stergios
- Fondazione Eni Enrico Mattei (FEEM)
Time of origin
- 2011