Journal Article

2015-05-28

Development Southern Africa

University of Cape Town

This paper exploits the first two waves of the National Income Dynamics Study (NIDS) to describe the socio-economic profile of mortality and to assess whether self-rated health status is predictive of mortality between waves. Mortality rates in NIDS are in line with estimates from official death notification data and display the expected hump of excess mortality in early and middle adulthood due to AIDS, with the excess peaking earlier for women than for men. We find evidence of a socio-economic gradient in mortality, with higher rates of mortality for individuals from asset-poor households and with lower levels of education. Consistent with evidence from many industrialised countries and a few developing countries, we find self-rated health to be a significant predictor of two-year mortality, an association that remains after controlling for socio-economic status and several other subjective and objective measures of health.