Arbeitspapier

Heuristic and exact solutions to the inverse power index problem for small voting bodies

Power indices are mappings that quantify the influence of the members of a voting body on collective decisions a priori. Their nonlinearity and discontinuity makes it difficult to compute inverse images, i.e., to determine a voting system which induces a power distribution as close as possible to a desired one. The paper considers approximations to this inverse problem for the Penrose-Banzhaf index by hill-climbing algorithms and exact solutions which are obtained by enumeration and integer linear programming techniques. They are compared to the results of three simple solution heuristics. The heuristics perform well in absolute terms but can be improved upon very considerably in relative terms. The findings complement known asymptotic results for large voting bodies and may improve termination criteria for local search algorithms.

Sprache
Englisch

Erschienen in
Series: Jena Economic Research Papers ; No. 2012,045

Klassifikation
Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Cooperative Games
Institutions: Design, Formation, Operations, and Impact
Thema
electoral systems
simple games
weighted voting games
square root rule
Penrose limit theorem
Penrose-Banzhaf index
institutional design
Wahlsystem
Gruppenentscheidung
Kooperatives Spiel
Machtindex
Theorie

Ereignis
Geistige Schöpfung
(wer)
Kurz, Sascha
Napel, Stefan
Ereignis
Veröffentlichung
(wer)
Friedrich Schiller University Jena and Max Planck Institute of Economics
(wo)
Jena
(wann)
2012

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Kurz, Sascha
  • Napel, Stefan
  • Friedrich Schiller University Jena and Max Planck Institute of Economics

Entstanden

  • 2012

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