Analyzing health equity using household survey data analyzing: A guide to techniques and their implementation

Owen O'Donnell, Eddy van Doorslaer, Adam Wagstaff, and Magnus Lindelow
WBI Learning Resources Series - Published by the World Bank – 2007.

Updated April, 2008 with downloadable Powerpoint presentations (with notes) for self-teaching, along with customizeable Stata "do" files

“……Health equity has become an increasingly popular research topic during the course of the past 25 years. Many factors explain this trend, including a growing demand from policymakers, better and more plentiful household data, and increased computer power. But progress in quantifying and understanding health equities would not have been possible without appropriate analytic techniques. These techniques are the subject of this book.

The book includes chapters dealing with data issues and the measurement of the key variables in health equity analysis:

Part I - Quantitative techniques for interpreting and presenting health equity data

Part II - Application of these techniques in the analysis of equity in health care utilization and health care spending

Part III - The aim of the book is to provide researchers and analysts with a step-by-step practical guide to the measurement of a variety of aspects of health equity, with worked examples and computer code, mostly for the computer program Stata. It is hoped that these step-by-step guides, and the easy-to-implement computer routines contained in them, will help stimulate yet more research in the field, especially policy-oriented health equity research that enables researchers to help policymakers develop and evaluate programs to reduce health inequities.

The book can be ordered online, and electronic versions of the chapters can be downloaded. Also available are Powerpoint lectures of chapters, customizable "do" files for use in Stata, a Stata "do" file for dominance checking, and an Excel file for computing standard errors of the concentration index with grouped data…” Stata and Excel files.

Table of contents
  • Ch. 1: Introduction
  • Ch. 2: Data for Health Equity Analysis: Requirements, Sources and Sample Designs
  • Ch. 3: Health Outcome #1: Child Survival
  • Ch. 4: Health Outcome #2: Anthropometrics
  • Ch. 5: Health Outcome #3: Adult Health
  • Ch. 6: Measurement of Living Standards
  • Ch. 7: Concentration Curves
  • Ch. 8: The Concentration Index
  • Ch. 9: Extensions to the Concentration Index: Inequality Aversion and the Health Achievement Index
  • Ch. 10: Multivariate Analysis of Health Survey Data
  • Ch. 11: Nonlinear Models for Health and Medical Expenditure Data
  • Ch. 12: Explaining Differences Between Groups: Oaxaca Decomposition
  • Ch. 13: Explaining Socioeconomic-Related Health Inequality: Decomposition of the Concentration Index
  • Ch. 14: Who Benefits from Health Sector Subsidies? Benefit Incidence Analysis
  • Ch. 15: Measuring and Explaining Inequity in Health Service Delivery
  • Ch. 16: Who Pays for Health Care? Progressivity of Health Finance
  • Ch. 17: Redistributive Effect of Health Finance
  • Ch. 18: Catastrophic Payments for Health Care
  • Ch. 19: Health Care Payments and Poverty