Decomposing social indicators using distributional data
AbstractAre the poor less healthy? Does public health spending matter more to them? The authors decompose aggregate health indicators using a random coefficients model in which the aggregates are regressed on the population distribution by subgroups, taking account of the statistical properties of the error term and allowing for other determinants of health status, including public health spending. This also allows them to test possible determinants of the variation in the underlying subgroup indicators. They implement the approach with data on health outcomes and poverty measures for 35 developing countries. The authors find that poor people have appreciably worse health status on average than others - and that differences in public health spending tend to matter more to the poor. This is probably because the nonpoor are in a better position to buy private health care.
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Bibliographic InfoPaper provided by The World Bank in its series Policy Research Working Paper Series with number 1487.
Date of creation: 31 Jul 1995
Date of revision:
Health Monitoring&Evaluation; Public Health Promotion; Health Systems Development&Reform; Health Economics&Finance; Early Child and Children's Health; Health Monitoring&Evaluation; Health Economics&Finance; Inequality; Health Systems Development&Reform; Poverty Assessment;
Other versions of this item:
- Bidani, Benu & Ravallion, Martin, 1997. "Decomposing social indicators using distributional data," Journal of Econometrics, Elsevier, vol. 77(1), pages 125-139, March.
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