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 Analysis of 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

In this paper a model for the aggregation of ballot profiles is considered. In this framework some new results are obtained: the characterization of oligarchic aggregators, the characterization of the plurality aggregator and the non existence of a vote aggregator which is anonymous and yet preserves proximity. In the context of there being precisely two candidates from which voters are required to choose from we provide axiomatic characterizations of the majority vote aggregator and the two single valued selections from it.

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 2001-02-01.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: 01 Feb 2001
Date of revision:
Handle: RePEc:iim:iimawp:2001-02-01

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? Citation analysis on IDEAS includes online papers that are freely accessible and whose text could be automatically analyzed, currently about 150000 papers.

This page was last updated on 2008-7-15.


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.