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Influence and manipulation in weighted committee voting

Title data

Kurz, Sascha ; Mayer, Alexander ; Napel, Stefan:
Influence and manipulation in weighted committee voting.
2021
Event: Aggregation across disciplines: connections and frameworks , 15.-17.12.2021 , CY Cergy Paris Université, Neuville-sur-Oise.
(Conference item: Workshop , Speech )

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Abstract in another language

Committee decisions on three or more alternatives depend on the adopted voting method and the underlying distribution of votes (e.g. voting weights, party seats, individual shareholdings). Based on structural analysis of how voting weights affect the aggregation of individual preferences into a collective decision and generalizations of the Penrose-Banzhaf and Shapley-Shubik indices from binary votes to general social choice, we study the distribution of voting power and who benefits from adoption of a particular voting rule (e.g. a plurality vote vs. plurality voting with a runoff vs. pairwise comparisons). We also investigate the interaction of voting weights, voting methods and the manipulability of committee decisions.

Further data

Item Type: Conference item (Speech)
Refereed: No
Additional notes: speaker: Stefan Napel
Keywords: weighted voting; simple games; social choice; plurality; plurality runoff; manipulation
Subject classification: Mathematics Subject Classification Code: 91B12
JEL: D71, C71, C63
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematical Economics
Faculties > Faculty of Law, Business and Economics > Department of Economics > Chair Economics IV - Microeconomics
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 Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Economics
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: 17 Dec 2021 10:27
Last Modified: 17 Dec 2021 10:27
URI: https://eref.uni-bayreuth.de/id/eprint/68178