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Axiomatizations for the Shapley-Shubik power index for games with several levels of approval in the input and output

Title data

Kurz, Sascha ; Moyouwou, Issofa ; Touyem, Hilaire:
Axiomatizations for the Shapley-Shubik power index for games with several levels of approval in the input and output.
In: Social Choice and Welfare. Vol. 56 (2021) . - pp. 569-594.
ISSN 1432-217X
DOI: https://doi.org/10.1007/s00355-020-01296-6

Official URL: Volltext

Abstract in another language

The Shapley-Shubik index is a specialization of the Shapley value and is widely applied to evaluate the power distribution in committees drawing binary decisions. It was generalized to decisions with more than two levels of approval both in the input and the output. The corresponding games are called (j,k) simple games. Here we present a new axiomatization for the Shapley-Shubik index for (j,k) simple games as well as for a continuous variant, which may be considered as the limit case.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Simple games; Several levels of approval; Shapley-Shubik index; Power indices; Axiomatization; Interval decisions
Subject classification: Mathematics Subject Classification Code: 91A40 91B12 (91A80 91A12)
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematical Economics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematical Economics > Chair Mathematical Economics - Univ.-Prof. Dr. Jörg Rambau
Profile Fields
Profile Fields > Emerging Fields
Profile Fields > Emerging Fields > Governance and Responsibility
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 320 Political science
300 Social sciences > 330 Economics
500 Science > 510 Mathematics
Date Deposited: 29 Mar 2021 08:05
Last Modified: 15 Feb 2022 12:45
URI: https://eref.uni-bayreuth.de/id/eprint/64420