Analyzing health equity using household survey data a guide to techniques and their implementation /
I tiakina i:
| Ngā kaituhi rangatōpū: | , |
|---|---|
| Ētahi atu kaituhi: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Washington, D.C. :
World Bank,
c2008.
|
| Rangatū: | WBI learning resources series.
|
| Ngā marau: | |
| Urunga tuihono: | An electronic book accessible through the World Wide Web; click to view |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Rārangi ihirangi:
- Introduction
- Data for health equity analysis: requirements, sources, and sample design
- Health outcome #1: child survival
- Health outcome #2: anthropometrics
- Health outcome #3: adult health
- Measurement of living standards
- Concentration curves
- The concentration index
- Extensions to the concentration index: inequality aversion and the health achievement index
- Multivariate analysis of health survey data
- Nonlinear models for health and medical expenditure data
- Explaining differences between groups: Oaxaca decomposition
- Explaining socioeconomic-related health inequality: decomposition of the concentration index
- Who benefits from health sector subsidies? benefit incidence analysis
- Measuring and explaining inequity in health service delivery
- Who pays for health care? progressivity of health finance
- Redistributive effect of health finance
- Catastrophic payments for health care
- Health care payments and poverty.