Lifestyle and Income-related Inequality in Health in South Africa

12 April 2017
Publication Type: Working Paper
JEL Code: I1, I14

Evidence suggests that lifestyle factors may explain the income-related inequality in self-reported health. This paper expands this literature by examining the contribution of smoking and alcohol consumption, incorporating more objective measures of health directly associated with these lifestyle practices. The Erreygers’ corrected concentration index is used to measure health inequalities over time. The indices are decomposed into observable covariates including smoking and alcohol use. We find significant smoking-related and income-related inequalities in both self-reported and lifestyle-related ill health. The results suggest that smoking and alcohol use make significant contributions to income related inequality in health. Smoking participation accounts for up to 7.35% of all measured inequality in health and 3.11% of the inequality in self-reported health. The estimates are generally higher for all measured inequality in health (up to 14.67%) and lower for inequality in self-reported health (1.78%) when smoking duration is considered. Alcohol consumption accounts for 27.83% of all measured inequality in health and 3.63% of the inequality in self-reported health. This suggests that policies that reduce unhealthy behaviors of individuals, such as reducing tobacco consumption and harmful alcohol use, can improve population health outcomes and reduce health inequalities.

Series title: Working paper 677
Journal: International Journal for Equity in Health
Share on facebook
Share on twitter
Share on linkedin
Share on telegram
Share on whatsapp
Share on email