Abstract
dc:description.abstractTo 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 × 8Rights
dc:rights- Statement dc:rights
-
- Creative Commons Attribution-NonCommercial 4.0 International
- Licence dc:rights.uri
- 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