gender_pay_gap

Computes the Gender Pay Gap (GPG) based on the provided dataset. The GPG is calculated as the percentage difference between male and female incomes, providing insight into income disparities between genders.

Provides tools for quantitative analysis in gender studies, including functions to calculate various gender inequality metrics such as the Gender Pay Gap, Gender Inequality Index (GII), Gender Development Index (GDI), and Gender Empowerment Measure (GEM). Also includes extracted secondary example datasets for practice and learning purposes, which were obtained from the UNDP Human Development Reports Data Center and the World Bank Gender Data Portal by the author the dataset is available on <doi:10.34740/kaggle/dsv/6359326>. References: Miller, Kevin; Vagins, Deborah J. (2021) <https://eric.ed.gov/?id=ED596219>. Jacques Charmes & Saskia Wieringa (2003) <doi:10.1080/1464988032000125773>. Gaëlle Ferrant (2010) <https://shs.hal.science/halshs-00462463/>.

S M Mashrur Arafin Ayon

genderstat

Quantitative Analysis Tools for Gender Studies

gender_pay_gap function

<dl><dt>data</dt>
<dd>A data frame containing the required metrics for GPG computation. The data frame must include the columns: <code>female_income</code> and <code>male_income</code>.</dd></dl>

Arguments

Gender Pay Gap (GPG) — gender_pay_gap

<dl>

<dt>data</dt>
<dd>A data frame containing the required metrics for GPG computation. The data frame must include the columns: <code>female_income</code> and <code>male_income</code>.</dd>

</dl>

gender_pay_gap: Gender Pay Gap (GPG)

Description

Usage

Value

Arguments

Examples