A general method for decomposing the causes of socioeconomic inequality in health
Heckley, Gawain LU
; Gerdtham, Ulf G.
LU
and Kjellsson, Gustav
LU
(2016)
In Journal of Health Economics
48.
p.89-106
- Abstract
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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/95f9b448-0444-447b-8390-4b26e835eb55
- author
- Heckley, Gawain
LU
; Gerdtham, Ulf G.
LU
and Kjellsson, Gustav
LU
- organization
- publishing date
- 2016-07-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Concentration index, Decomposition methods, I10, I14, I30, Inequality measurement, Recentered influence function
- in
- Journal of Health Economics
- volume
- 48
- pages
- 18 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:84973154885
- pmid:27137844
- wos:000379093600007
- ISSN
- 0167-6296
- DOI
- 10.1016/j.jhealeco.2016.03.006
- language
- English
- LU publication?
- yes
- id
- 95f9b448-0444-447b-8390-4b26e835eb55
- date added to LUP
- 2016-07-08 14:47:32
- date last changed
- 2024-06-28 12:18:09
@article{95f9b448-0444-447b-8390-4b26e835eb55,
abstract = {{<p>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.</p>}},
author = {{Heckley, Gawain and Gerdtham, Ulf G. and Kjellsson, Gustav}},
issn = {{0167-6296}},
keywords = {{Concentration index; Decomposition methods; I10; I14; I30; Inequality measurement; Recentered influence function}},
language = {{eng}},
month = {{07}},
pages = {{89--106}},
publisher = {{Elsevier}},
series = {{Journal of Health Economics}},
title = {{A general method for decomposing the causes of socioeconomic inequality in health}},
url = {{http://dx.doi.org/10.1016/j.jhealeco.2016.03.006}},
doi = {{10.1016/j.jhealeco.2016.03.006}},
volume = {{48}},
year = {{2016}},
}