Compensation and sacrifice in the probabilistic rationing of indivisible units
Ricardo Martinez () and
Juan Moreno-Ternero
European Journal of Operational Research, 2022, vol. 302, issue 2, 740-751
Abstract:
We consider the problem of randomly allocating indivisible units of a resource among agents with conflicting claims on the resource. An axiom reflecting a principle of compensation allows us to characterize the focal probabilistic uniform awards rule. A dual axiom reflecting a principle of sacrifice allows us to characterize the (dual) probabilistic uniform losses rule. The combination of two (other) axioms reflecting both principles (of compensation and sacrifice) allows us to characterize the (compromise) probabilistic concede-and-divide in the two-agent case. There is, however, no consistent extension of this rule to the general case of an arbitrary number of agents.
Keywords: Game theory; Resource allocation; Axioms; Probabilistic; Discrete goods (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221721010948
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Compensation and sacrifice in the probabilistic rationing of indivisible units (2022) 
Working Paper: Compensation and sacrifice in the probabilistic rationing of indivisible units (2020) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:302:y:2022:i:2:p:740-751
DOI: 10.1016/j.ejor.2021.12.038
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().