A 'Health Kuznets' Curve'? Cross-Country and Longitudinal Evidence

21 Pages Posted: 2 Nov 2013

See all articles by Joan Costa-Font

Joan Costa-Font

London School of Economics & Political Science (LSE)

Cristina Hernandez Quevedo

University of York - Department of Economics and Related Studies

Azusa Sato

London School of Economics & Political Science (LSE)

Date Written: September 1, 2015

Abstract

The distribution of income related health inequalities appear to exhibit varying patterns when developing countries and developed countries are examined. One explanation is the existence of a health Kuznets’ curve. This paper sets out as an exploratory analysis to test the hypothesis of an inverse U shape pattern between both economic development (as measured by GDP per capita) and income inequalities in health (as measured by concentration indices). We draw upon two datasets, the World Health Survey and the European Community household survey. Our results show that income-related inequalities in self-reported health rise but tail off once a threshold level of economic development has been attained. Thus, there is a health Kuznets’ curve on per capita income, with a polynomial association where the tipping point lies around $26,000 to $38,700.

Keywords: concentration indices, self-reported health, health inequalities, Kuznets’ curve, income related health inequalities

JEL Classification: I180, O100, I300

Suggested Citation

Costa-Font, Joan and Hernandez Quevedo, Cristina and Sato, Azusa, A 'Health Kuznets' Curve'? Cross-Country and Longitudinal Evidence (September 1, 2015). CESifo Working Paper Series No. 4446. Available at SSRN: https://ssrn.com/abstract=2348070

Joan Costa-Font (Contact Author)

London School of Economics & Political Science (LSE) ( email )

Houghton Street
London, WC2A 2AE
United Kingdom

HOME PAGE: http://https://joancostaifont.org/

Cristina Hernandez Quevedo

University of York - Department of Economics and Related Studies ( email )

Heslington
York, YO1 5DD
United Kingdom
+44(0)1904433681 (Phone)

Azusa Sato

London School of Economics & Political Science (LSE) ( email )

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