The power of the largest player

URN to cite this document: urn:nbn:de:bvb:703-epub-3605-7

Title data

Kurz, Sascha:
The power of the largest player.
Bayreuth , 2018 . - 7 S.

Format:	PDF
Name:	power_of_the_largest_player_arxiv.pdf
Version:	Published Version
Available under License	Creative Commons BY 4.0: Attribution

Download (238kB)

Abstract

Decisions in a shareholder meeting or a legislative committee are often modeled as a weighted game. Influence of a member is then measured by a power index. A large variety of different indices has been introduced in the literature. This paper analyzes how power indices differ with respect to the largest possible power of a non-dictatorial player. It turns out that the considered set of power indices can be partitioned into two classes. This may serve as another indication which index to use in a given application.

Further data

Item Type:	Preprint, postprint
Additional notes (visible to public):	erschienen in: Economics Letters. Bd. 168 (Juli 2018) . - S. 123-126. DOI: https://doi.org/10.1016/j.econlet.2018.04.034
Keywords:	power measurement; weighted games
Subject classification:	Mathematics Subject Classification Code: 91B12 (94C10)
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
Institutions of the University:	Faculties > Faculty of Mathematics, Physics und Computer Science 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 Profile Fields > Emerging Fields Profile Fields > Emerging Fields > Governance and Responsibility Faculties Profile Fields
Language:	English
Originates at UBT:	Yes
URN:	urn:nbn:de:bvb:703-epub-3605-7
Date Deposited:	13 Mar 2018 08:33
Last Modified:	14 May 2021 08:16
URI:	https://epub.uni-bayreuth.de/id/eprint/3605

Download Statistics

Downloads

Downloads per month over past year