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conindex: Estimation of concentration indices
Owen O'Donnell1, Stephen O'Neill2, Tom Van Ourti3
1Erasmus School of Economics Erasmus University Rotterdam, the Netherlands Tinbergen Institute, the Netherlands and University of Macedonia, Greece.
The Stata Journal
|April 8, 2016
Summary
This study introduces the Stata command "conindex" for measuring socioeconomic inequality in health. It provides tools for calculating, visualizing, and comparing concentration indices across different groups.
Area of Science:
- Health Economics
- Biostatistics
- Social Epidemiology
Background:
- Concentration indices are vital for assessing socioeconomic-related health inequalities.
- Existing methods for calculating and comparing these indices can be complex.
- There is a need for accessible tools to analyze health and healthcare disparities.
Purpose of the Study:
- To introduce the user-written Stata command 'conindex'.
- To provide a comprehensive tool for calculating, visualizing, and comparing concentration indices.
- To facilitate the analysis of socioeconomic-related health and healthcare inequality.
Main Methods:
- Development and application of the 'conindex' Stata command.
- Calculation of point estimates and standard errors for concentration indices.
- Graphical representation of concentration and Lorenz curves.
- Statistical inference for group comparisons of inequality.
Main Results:
- The 'conindex' command offers a versatile approach to measuring inequality.
- Demonstrated application in analyzing wealth-related health and healthcare inequality in Cambodia.
- Provides robust statistical inference for inequality comparisons.
Conclusions:
- The 'conindex' command simplifies the measurement and analysis of socioeconomic health inequalities.
- Facilitates accessible research on health disparities using Stata.
- Supports evidence-based policymaking for equitable health outcomes.
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