A framework for testing the equality between the health concentration curve and the 45‐degree line
Mohamad Khaled,
Paul Makdissi (),
Rami Tabri () and
Myra Yazbeck ()
Health Economics, 2018, vol. 27, issue 5, 887-896
Abstract:
The health concentration curve is the standard graphical tool to depict socioeconomic health inequality in the literature on health inequality. This paper shows that testing for the absence of socioeconomic health inequality is equivalent to testing if the conditional expectation of health on income is a constant function that is equal to average health status. In consequence, any test for parametric specification of a regression function can be used to test for the absence of socioeconomic health inequality (subject to regularity conditions). Furthermore, this paper illustrates how to test for this equality using a test for parametric regression functional form and applies it to health‐related behaviors from the National Health Survey 2014.
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://doi.org/10.1002/hec.3637
Related works:
Working Paper: A Framework for Testing the Equality Between the Health Concentration Curve and the 45-Degree Line (2016) 
Working Paper: A Framework for Testing the Equality Between the Health Concentration Curve and the 45-Degree Line (2016) 
Working Paper: A Framework for Testing the Equality Between the Health Concentration Curve and the 45-Degree Line (2016) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:hlthec:v:27:y:2018:i:5:p:887-896
Access Statistics for this article
Health Economics is currently edited by Alan Maynard, John Hutton and Andrew Jones
More articles in Health Economics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().