Event Title

The Impact of Marriage and Gender on Annual Household Income

Session Number

Project ID: BHVSO 16

Advisor(s)

Patrick Kearney, Illinois Mathematics and Science Academy

Discipline

Behavioral and Social Sciences

Start Date

20-4-2022 10:25 AM

End Date

20-4-2022 10:40 AM

Abstract

This project builds off of the results of “The Impact of Women on Annual Household Income per County” (Sirais & Venkatraman 2021), which explored the ways that gender roles affected financial wellbeing. The study will explore possible correlations between marital status and average annual household income on a county-level. By compiling datasets from the United States census, the project will analyze how gender roles in combination with two-person marriages play a part in the economic growth of counties in the Midwest. Various statistical tests and graphical methods will be used in order to examine the data for statistically significant patterns, and the results of the previously referenced project from 2021 will be compared to the results of this project. The results will show whether there is a correlation between the higher annual household income in counties with a 1:1 gender ratio and a higher number of married couples. Other extenuating factors will also be accounted for, such as race and education level. The project will examine possible reasons behind the relationship that is found.

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Apr 20th, 10:25 AM Apr 20th, 10:40 AM

The Impact of Marriage and Gender on Annual Household Income

This project builds off of the results of “The Impact of Women on Annual Household Income per County” (Sirais & Venkatraman 2021), which explored the ways that gender roles affected financial wellbeing. The study will explore possible correlations between marital status and average annual household income on a county-level. By compiling datasets from the United States census, the project will analyze how gender roles in combination with two-person marriages play a part in the economic growth of counties in the Midwest. Various statistical tests and graphical methods will be used in order to examine the data for statistically significant patterns, and the results of the previously referenced project from 2021 will be compared to the results of this project. The results will show whether there is a correlation between the higher annual household income in counties with a 1:1 gender ratio and a higher number of married couples. Other extenuating factors will also be accounted for, such as race and education level. The project will examine possible reasons behind the relationship that is found.