A Statistical Inquiry into Gender-Based Income Inequality in Canada

TL;DR

This study investigates gender-based income inequality in Canada, analyzing how female income affects family size and purchasing power using statistical methods, revealing significant gender disparities in income distribution.

Contribution

It applies statistical analysis to quantify gender income disparities and their effects on family size and purchasing power in Canada, providing new insights into income inequality.

Findings

Female income decreases purchasing power per household member.

Probability of high-income females is approximately 1/3 and 1/4.

Female pre-tax income per person significantly impacts family size.

Abstract

Income inequality distribution between social groups has been a global challenge. The focus of this study is to investigate the potential impact of female income on family size and purchasing power. Using statistical methods such as simple linear regression, maximum likelihood analysis, and hypothesis testing, I evaluated and investigated the variability of female pre-tax income with respect to family size. The results obtained from this study illustrate that for each additional household member, the average purchasing power decreases. Additionally, the Bayesian analysis indicates that the probability for an individual with a pre-tax income of at least one and two standard deviations above the population mean is female is approximately 1/3 and 1/4, respectively, further highlighting the gender-based income inequality in Canada. This analysis concludes that although female pre-tax income has no statistically significant impact on family size, the female pre-tax income per person has a statistically significant impact on family size.