Decomposing health achievement and socioeconomic health inequalities in presence of multiple categorical information

C-Tier
Journal: Economic Modeling
Year: 2013
Volume: 35
Issue: C
Pages: 964-968

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Although most of the measurement approaches in health inequality measurement assume the existence of a ratio-scale variable, most of the information on health available in population surveys is given in the form of categorical variables. This may result in the arbitrariness of the health concentration index's value. Makdissi and Yazbeck (2012) adopt a counting approach to overcome this problem. In this paper, we use this counting approach and decompose socioeconomic health inequality and achievement by categories of health problems and by region in the United States using the National Health Interview Survey 2010.

Technical Details

RePEc Handle
repec:eee:ecmode:v:35:y:2013:i:c:p:964-968
Journal Field
General
Author Count
3
Added to Database
2026-01-26