Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren
 

The roll call interpretation of the Shapley value

Title data

Kurz, Sascha ; Napel, Stefan:
The roll call interpretation of the Shapley value.
In: Economics Letters. Vol. 173 (2018) . - pp. 108-112.
ISSN 0165-1765
DOI: https://doi.org/10.1016/j.econlet.2018.09.025

Abstract in another language

The Shapley value is commonly illustrated by roll call votes in which players support or reject a proposal in sequence. If all sequences are equiprobable, a voter's Shapley value can be interpreted as the probability of being pivotal, i.e., to bring about the required majority or to make this impossible for others. We characterize the joint probability distributions over cooperation patterns that permit this roll call interpretation: individual votes may be interdependent but must be exchangeable.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Shapley value; Shapley-Shubik index; roll call model; voting power
Subject classification: JEL: C71, D70, D72
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
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Economics
Faculties > Faculty of Law, Business and Economics > Department of Economics > Chair Economics IV - Microeconomics > Chair Economics IV - Microeconomics - Univ.-Prof. Dr. Stefan Napel
Profile Fields > Emerging Fields > Governance and Responsibility
Faculties
Faculties > Faculty of Law, Business and Economics > Department of Economics > Chair Economics IV - Microeconomics
Profile Fields
Profile Fields > Emerging Fields
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: 10 Oct 2018 07:31
Last Modified: 24 Aug 2023 06:26
URI: https://eref.uni-bayreuth.de/id/eprint/46002