Due date: May 8, 2026 at 11:59 PM

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Income is usually pooled and distributed within households. In fact, standard measures of income inequality are based on “equal-split” household income, where total household resources are divided equally across all members.

If you think about it, this means that female labor force participation should have some implications for income distribution.

In this assignment, you will explore how female labor force participation relates to equal-split income inequality across countries.

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Datasets Provided

WID_income_ineq_countries.xls

• This dataset reports equal-split income inequality measures for many countries over time, based on estimates from the World Inequality Database. It is structured in long format. The “variable” column includes distribution brackets—for instance, “p90p100” represents the top 10%, “p99p100” the top 1%, and so on.

WB_female_labor_force_participation.xls

• This dataset contains the World Bank’s estimates of female labor force participation for countries across multiple years, organized in wide format.

Before you begin:

You must create a single self-contained folder that includes:

1. Your R Project file (pset3.Rproj)

2. All raw datasets, exactly as provided:

   • /input_data/WID_income_ineq_countries.xlsx
   • /input_data/WB_female_labor_force_participation.xls

3. Your R script (only one script), named:

   analysis.R

4. All figures generated by the script, saved to a folder named outputs/

5. A short written summary saved as results.pdf or results.md .

Reproducibility requirements

Your script must satisfy all of the following:

• It must use relative paths only.
• It must run from start to finish without modification on another computer.
• It must not require the user to manually set the working directory.

How to upload your assignment