Abstract
What explains the difference between the county level vote received by President Donald Trump and U.S. Senator Marco Rubio in the 2016 Florida general election? Over the last couple of decades, Florida has earned a reputation for being a highly competitive state that impacts control of the White House and congress. As Florida’s electorate becomes increasingly diverse, will the Democratic Party begin to win more often as their usual base grows, or will the Republican Party figure out a way to remain competitive? The 2016 general election presents an opportunity to analyze the structure of support for two Republican candidates who represent different paths for the future of the Republican Party: Trump, who won Florida by just one percent, and seemingly alienated Hispanics and women with his comments and policy proposals; or Rubio, who won by about eight percent, a Cuban-American thought to be a fresh voice for the GOP and a bridge to Hispanic voters. Regression analysis is used to examine support for Trump and Rubio and also the difference in support between the candidates. The results indicate Trump did better in counties with larger percentages of lower educated whites, lower income households, and higher unemployment rate. Rubio performed better than Trump in counties with larger numbers of Cuban and non-Cuban Hispanics, women, and voters not registered with either major party. These results suggest that Democrats may gain ground in Florida over time if the Trump wing of the GOP takes over the party and if current population trends continue.
Thesis Completion
2018
Semester
Summer
Thesis Chair/Advisor
Jewett, Aubrey
Degree
Bachelor of Arts (B.A.)
College
College of Sciences
Department
Political Science
Degree Program
Political Science; American Politics
Location
UCF Online
Language
English
Access Status
Open Access
Release Date
8-1-2018
Recommended Citation
Miguez Devesa, Florencia, "Explaining the Difference in Support for President Trump and Senator Rubio in the 2016 Election in Florida" (2018). Honors Undergraduate Theses. 373.
https://stars.library.ucf.edu/honorstheses/373