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Virginia Tech

Three Empirical Analyses of Voting

Abstract

dc:description.abstract

To evaluate voting rules, it would be good to know what universe election outcomes are drawn from. Election theorists have postulated that elections might be drawn from various stochastic preference models, including the IC and IAC conditions, but these models induce empirically contradicted predictions. We use two distinct data sets, FairVote and German Politbarometer survey. Based on the data information, we suggest approaches that differ from those probabilistic models to better approximate the actual data in Chapter 3 and 4. Chapter 5 applies the spatial model for four-candidate in a three-dimensional setting. We also offer a significant gap between the actual and simulated data under the IAC conditions by comparing their statistical characteristics.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
doctoral
Department dc:contributor.department
Economics
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Song, Chang Geun
Chair dc:contributor.committeechair
  • Tideman, Nicolaus
Committee members dc:contributor.committeemember
  • Bahel, Eric A.
  • Plassman, Florenz
  • Ashley, Richard A.

Subjects

dc:subject × 8

Rights

dc:rights
Statement dc:rights
  • Creative Commons Attribution-NonCommercial 4.0 International
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:34558
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/110839

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Song, Chang Geun. Three Empirical Analyses of Voting. doctoral thesis, Virginia Tech, 2022. http://hdl.handle.net/10919/110839