Empirical Analyses of a Spatial Model of Voter Preferences

To properly analyze the advantages and disadvantages of voting rules, and how well the outcomes that they yield reflect voters' preferences, one needs very large data sets, since paradoxes that occur very rarely may have large impacts. Since such amounts of election data are currently unavailable, it is important to be able to use random procedures to generate data that have the same statistical characteristics as real election data. It is the purpose of this work to identify a statistical characterization of voting data, to empower researchers to use random procedures to generate data that is statistically indistinguishable from real voting data.

Name thesis:degree_name

Ph. D.

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Economics

Department dc:contributor.department

Economics, Science

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2016

Author dc:creator

• Matje, Thorsten

Chair dc:contributor.committeechair

• Tideman, Nicolaus

Committee members dc:contributor.committeemember

• Plassman, Florenz
• Ball, Sheryl B.
• Bahel, Eric A.
• Tsang, Kwok Ping

• Public Choice
• Statistical Analysis
• Voting

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

vt_gsexam:9227

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/73579