Main content

Analyzing the Gender Wage-gap in Ontario's Public Sector

Show full item record

Title: Analyzing the Gender Wage-gap in Ontario's Public Sector
Author: D'Angelo, Andrew
Department: School of Computer Science
Program: Computer Science
Advisor: Grewal, GaryLuiza, Antonie
Abstract: The disparity in wages between men and women is a well known fact; however, the contribution of each known factor is not fully understood. Leveraging the salary information provided by the Ontario Ministry of Finance could allow for a better understanding of the factors that contribute to gender wage disparity. The Ontario public salary data, also known as the 'Sunshine List', contains the salary information of individuals working in the public sector that earn $100,000 or more annually. Unfortunately, the Sunshine List data is not in a form that allows for direct analysis. The information must first be collected, cleaned, and standardized due to formatting inconsistencies within the Sunshine List data. Furthermore, although these salaries are publicly available, a key attribute is missing from the public data, the gender variable. A novel hybrid model is proposed to predict the gender based on an individual's given name, and the original database is augmented with the new gender variable. With the new database created, the wage-gap is analyzed and the results are presented and discussed. The findings of this research are being used by Ontario's provincial government to reassess and change current policies for pay equity.
Date: 2016-05
Terms of Use: All items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.

Files in this item

Files Size Format View Description
DAngelo_Andrew_201605_MSc.pdf 1.789Mb PDF View/Open Thesis

This item appears in the following Collection(s)

Show full item record