1. Economic inequality and child stunting in Bangladesh and Kenya: an investigation of six hypotheses.
- Author
-
Reinbold GW
- Subjects
- Bangladesh ethnology, Child, Child, Preschool, Demography economics, Demography history, Demography legislation & jurisprudence, Economics history, Economics legislation & jurisprudence, Family Health economics, Family Health ethnology, Family Health history, Family Health legislation & jurisprudence, History, 20th Century, History, 21st Century, Humans, Income history, Kenya ethnology, Population Dynamics history, Child Development physiology, Child Welfare economics, Child Welfare ethnology, Child Welfare history, Child Welfare legislation & jurisprudence, Child Welfare psychology, Developing Countries economics, Developing Countries history, Family Characteristics ethnology, Family Characteristics history, Health Policy economics, Health Policy history, Health Policy legislation & jurisprudence, Social Class history
- Abstract
Consistent with the increasing focus on issues of equity in developing countries, I extend the literature analyzing the relationship between economic inequality and individual health to the developing world. Using survey data from Bangladesh and Kenya with economic status measured by a wealth index and with three different geographic definitions of community, I analyze six competing hypotheses for how economic inequality may be related to stunting among children younger than 5 years old. I find little support for the predominant hypothesis that economic inequality as measured by a Gini index is an important predictor of individual health. Instead, I find that the difference between a household's wealth and the mean household wealth in the community is the measure of economic inequality that is most closely related to stunting in these countries. In particular, a 1 standard deviation increase in household wealth relative to the community mean is associated with a 30–32 percent decrease in the odds of stunting in Bangladesh and a 16–21 percent decrease in the odds of stunting in Kenya.
- Published
- 2011
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