Abstract
The objective of this thesis is to examine the success of minorities (black, and Hispanic/Latino employees) and women in the United States workforce, defining success by employment percentage and earnings. The goal of this thesis is to study the impact gender, race, passage of time, and national economic status reflected in gross domestic product have on the success of minorities and women. In particular, this thesis considers the impact of these factors in Science, Technology, Engineering and Math (STEM) industries. Varying coefficient models are utilized in the analysis of data sets for national employment percentages and earnings.
Notes
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Graduation Date
2016
Semester
Fall
Advisor
Pensky, Marianna
Degree
Master of Science (M.S.)
College
College of Sciences
Department
Mathematics
Degree Program
Mathematical Science; Industrial Mathematics
Format
application/pdf
Identifier
CFE0006458
URL
http://purl.fcla.edu/fcla/etd/CFE0006458
Language
English
Release Date
December 2016
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
STARS Citation
Goedeker, Amanda, "Analysis of Employment and Earnings Using Varying Coefficient Models to Assess Success of Minorities and Women" (2016). Electronic Theses and Dissertations. 5267.
https://stars.library.ucf.edu/etd/5267