A general method for decomposing the causes of socioeconomic inequality in health
Author
Summary, in English
We introduce a general decomposition method applicable to all forms of bivariate rank dependent indices of socioeconomic inequality in health, including the concentration index. The technique is based on recentered influence function regression and requires only the application of OLS to a transformed variable with similar interpretation. Our method requires few identifying assumptions to yield valid estimates in most common empirical applications, unlike current methods favoured in the literature. Using the Swedish Twin Registry and a within twin pair fixed effects identification strategy, our new method finds no evidence of a causal effect of education on income-related health inequality.
Publishing year
2016-07-01
Language
English
Pages
89-106
Publication/Series
Journal of Health Economics
Volume
48
Document type
Journal article
Publisher
Elsevier
Topic
- Health Care Service and Management, Health Policy and Services and Health Economy
Keywords
- Concentration index
- Decomposition methods
- I10
- I14
- I30
- Inequality measurement
- Recentered influence function
Status
Published
Research group
- Health Economics
ISBN/ISSN/Other
- ISSN: 0167-6296