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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 × 8

Rights

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

Chain of custody

source
Harvested from
Eastern Kentucky University
Base URL
encompass.eku.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Morgan, Zachary James. Examining Partisan Advantage In Congressional Maps Using Simulations Based On Election Data. Master's thesis, Eastern Kentucky University, 2019. https://encompass.eku.edu/etd/578