inequality-analysis

Community

Quantify inequality and poverty fast.

Authorxjtulyc
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you measure and explain income or wealth inequality and poverty by turning microdata into interpretable statistics and decomposition results.

Core Features & Use Cases

  • Inequality measurement: Calculate Gini coefficients and produce Lorenz curves from weighted or unweighted income/wealth data.
  • Decomposable inequality: Compute Theil index measures and break total inequality into within-group and between-group components.
  • Poverty & distribution analysis: Compute Foster-Greer-Thorbecke (FGT) poverty indices, analyze inequality trends, and run quantile regression for distributional effects.
  • Mobility analysis: Estimate income mobility with rank-rank regression and build income transition matrices.

Quick Start

Use the inequality-analysis Skill to compute the Gini coefficient, Lorenz curve, Theil within/between decomposition, and FGT poverty indices for your dataset of weighted household incomes.

Dependency Matrix

Required Modules

numpypandasscipymatplotlibstatsmodels

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: inequality-analysis
Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#inequality-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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