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Cited by 352

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Elicitation of Honest Preferences for the Assignment of Individuals to Positions

Leonard, Herman B.·1983·Journal of Political Economy

Abstract

The problem of eliciting honest preferences from individuals who must be assigned to a set of positions is considered. Individuals know that they will be charged for the positions to which they are assigned. A set of prices that provide no incentive for the individual to misrepresent his preferences is suggested. It is shown that these prices constitute an element of the optimal solution to the dual of a linear programming assignment problem. Both the optimal allocation and the prices to be charged can be derived by solving two linear programming problems once preferences have been elicited. The procedure can usefully be viewed as a simulation of a competitive market under conditions where such a market cannot be expected to function well. It results in an efficient allocation where all resources are valued at their opportunity costs and "consumer surplus" is maximized; its outcome thus has the desirable properties of competitive market equilibria.

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Metadata

Authors
Leonard, H. B.
Venue
Journal of Political Economy
Published
1983-06
Volume
91
Issue
3
Pages
461-479
ISSN
  • 0022-3808 (ISSN-L)
  • 1537-534X
OpenAlex
W2024694589
Cited by
352
References
1
FWCI
7.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Elicitation of Honest Preferences for the Assignment of Individuals to Positions. https://app.cochat.ai/papers/10.1086/261158
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Leonard, H. B. (1983). Elicitation of Honest Preferences for the Assignment of Individuals to Positions. Journal of Political Economy. https://doi.org/10.1086/261158

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.