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
Englisch

Bibliographic citation
Series: Nota di Lavoro ; No. 11.2011

Classification
Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Microeconomic Behavior: Underlying Principles
Welfare Economics: General
Subject
Random Assignment
Efficiency
Duality
Linear Programming

Event
Geistige Schöpfung
(who)
Athanassoglou, Stergios
Event
Veröffentlichung
(who)
Fondazione Eni Enrico Mattei (FEEM)
(where)
Milano
(when)
2011

Handle
Last update
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

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