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Decisions in Economics and Finance
Article . 2022 . Peer-reviewed
License: CC BY
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zbMATH Open
Article . 2022
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SSRN Electronic Journal
Article . 2022 . Peer-reviewed
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Equalizing solutions for bankruptcy problems revisited

Authors: José Alcalde; Josep E. Peris;

Equalizing solutions for bankruptcy problems revisited

Abstract

AbstractWhen solving bankruptcy problems through equalizing solutions, agents with small claims prefer to distribute the estate according to the Constrained Equal Awards solution, while the adoption of the Constrained Equal Losses solution is preferred by agents with high claims. Therefore, the determination of which is the central claimant, as a reference to distinguish the agents with a high claim from those with a low claim, is a relevant question when designing hybrid solutions, or new methods to distribute the available estate in a bankruptcy problem. We explore the relationship between the equal awards parameter $$\lambda $$ λ and the equal losses parameter $$\mu $$ μ that characterize the two solutions. We show that the central claimant is fully determined by these parameters. In addition, we explore how to compute these parameters and present optimization problems that provide the Constrained Equal Awards and the Constrained Equal Losses solutions.

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Keywords

constrained equal awards, constrained equal losses, bankruptcy problem, Bankruptcy problem, Constrained Equal Awards, relative degree of conflict, Resource and cost allocation (including fair division, apportionment, etc.), Relative degree of conflict, Constrained equal losses

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
hybrid