This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Axiomatic Characterisation of Weighted Boolean Vote Aggregators

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Lahiri Somdeb

Additional information is available for the following registered author(s):

Abstract

A Federation Boolean Vote Aggregator allows a finite set of coalitions to unilaterally elect any candidate from a set containing exactly two candidates. There are several special types of Federation Boolean Vote Aggregators, all of which share a property: the candidates are assigned weights, and for a coalition to be decisive, it is necessary that the sum of the weights of its members exceed a pre-assigned quota. In this paper we address the following question: When is a Federation Boolean Vote aggregator a Weighted Boolean Vote Aggregator?

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Publisher Info
Paper provided by Indian Institute of Management Ahmedabad, Research and Publication Department in its series IIMA Working Papers with number 2001-02-02.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 02 Feb 2001
Date of revision:
Handle: RePEc:iim:iimawp:2001-02-02

Contact details of provider:
Phone: 91 79 2630 7241
Fax: 91 79 2630 6896
Web page: http://www.iimahd.ernet.in/publications
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: ().

Related research
Keywords:

Statistics
Access and download statistics

Did you know? Over 80% of the top 1000 economists are registered on RePEc.

This page was last updated on 2009-11-30.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.