Eastern Kentucky University
Examining Partisan Advantage In Congressional Maps Using Simulations Based On Election Data
Abstract
dc:description.abstract<p>Partisan gerrymandering has been and will continue to be a topic of interest in the coming years. States will soon begin their redistricting process following the 2020 Census. We introduce a method of simulating Congressional elections which provides a new way of examining and visualizing the votes-to-seats relationship for a state Congressional map using past election data. We are able to build upon Mira Bernstein's method of uniformly simulating elections by injecting a data-driven component of variation into the simulations. Additionally, we are able to directly evaluate the accuracy of our simulations using a type of cross-validation. We compare our results from a handful of notable states to other measures of partisan gerrymandering, such as the efficiency gap, and do so in light of recent court cases and other important contexts. </p>
Degree
thesis:*- Name thesis:degree_name
- Master of Science (MS)
- Level thesis:degree_level
- Master's
- Discipline thesis:degree_discipline
- Mathematics and Statistics
- Grantor dc:publisher
- Eastern Kentucky University
- Year
- 2019
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Morgan, Zachary James
Subjects
dc:subject × 8Rights
dc:rights- Statement dc:rights
-
- Copyright 2019 Zachary James Morgan
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://encompass.eku.edu/etd/578
- OAI identifier oai:identifier
- oai:encompass.eku.edu:etd-1576