Abstract:
The purpose of this paper is to examine
the gender-based discrimination in car insurance rates
and whether the reasons provided by the car insurance
companies for the different rates are valid or not. The
paper studies the average annual premiums paid by
men and women across different age groups from 16
years old to over 56 years old along with the percentage
differences. Additionally, the concept of big data and
how it is utilized by businesses to apply personalize
price discrimination is investigated. The research
design is conclusive and secondary data is used in both
qualitative and quantitative forms. Qualitative data is
collected from articles for the literature review and
as for the quantitative data it is in the form of reports
and surveys. The data shows that at lower age groups
women pay less than men for car insurance but as the
age increase men start paying less. The paper reaches a
conclusion that gender is not necessarily a crucial risk-
factor as the regular factors such as driving record can
provided accurate risk determinants.
