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Economic Inequality and Child Stunting in Bangladesh and Kenya: An Investigation of Six Hypotheses
Author(s) -
Reinbold Gary W.
Publication year - 2011
Publication title -
population and development review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.836
H-Index - 96
eISSN - 1728-4457
pISSN - 0098-7921
DOI - 10.1111/j.1728-4457.2011.00453.x
Subject(s) - inequality , odds , developing country , index (typography) , equity (law) , economics , gini coefficient , economic inequality , socioeconomics , economic growth , demographic economics , geography , logistic regression , political science , statistics , mathematics , mathematical analysis , world wide web , computer science , law
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.