Costa-Font, Joan 
ORCID: 0000-0001-7174-7919, Hernández-Quevedo, Cristina and Sato, Azusa
(2018)
A health 'Kuznets' curve'? Cross-section and longitudinal evidence on concentration indices.
Social Indicators Research, 136 (2).
pp. 439-452.
ISSN 0303-8300
|
Text
- Published Version
Available under License Creative Commons Attribution. Download (588kB) | Preview |
Abstract
The distribution of income related health inequalities appears to exhibit changing patterns when both developing countries and developed countries are examined. This paper tests for the existence of a health Kuznets' curve, that is an inverse U-shape pattern between economic developments measured by GDP per capita) and income-related health inequalities (as measured by concentration indices). We draw upon both cross section (the World Health Survey) and a long longitudinal (the European Community Household Panel survey) dataset. Our results suggest evidence of a health Kuznets' curve on per capita income. Our findings point towards the existence of a polynomial association where inequalities decline when GDP per capita reaches a magnitude ranging between $26,000 and $38,700.That is, income-related health inequalities rise with GDP per capita, but tail off once a threshold level of economic development has been attained.
| Item Type: | Article |
|---|---|
| Official URL: | http://link.springer.com/journal/11205 |
| Additional Information: | © 2017 The Authors © CC BY 4.0 |
| Divisions: | Health Policy LSE Health |
| Subjects: | H Social Sciences > HC Economic History and Conditions R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
| JEL classification: | I - Health, Education, and Welfare > I1 - Health > I18 - Government Policy; Regulation; Public Health I - Health, Education, and Welfare > I3 - Welfare and Poverty O - Economic Development, Technological Change, and Growth > O1 - Economic Development |
| Date Deposited: | 09 Jan 2017 10:03 |
| Last Modified: | 02 Nov 2024 17:24 |
| URI: | http://eprints.lse.ac.uk/id/eprint/68782 |
Actions (login required)
 |
View Item |
Download Statistics
Download Statistics