What explains the rural-urban gap in infant mortality: Household or community characteristics?
The rural-urban gap in infant mortality rates is explained using a new decomposition method that permits identification of the ontribution of unobserved heterogeneity at the household and the community level. Using Demographic and Health Survey data for six Francophone countries in Western Sub-Saharan Africa, we find that differences in the distributions of factors that determine mortality – not differences in their effects – explain almost the entire gap. Higher infant mortality rates in rural areas mainly derive from the rural disadvantage in household level characteristics; both observed and unobserved, which explain three-quarters of the gap. Among the observed characteristics, household environmental factors—potable water, electricity and quality of housing materials—are the most important contributors explaining 38% of the gap. Unobserved household level determinants explain 10% of the gap. Community level determinants explain 13% of the gap, including 3% that is due to unobservable community level heterogeneity. This discussion paper has resulted in a publication in Demography , 2009, 46(4), 827-51.
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Volume (Year): 46 (2009)
Issue (Month): 4 (November)
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- Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
- Smith, Lisa C. & Ruel, Marie T. & Ndiaye, Aida, 2005. "Why Is Child Malnutrition Lower in Urban Than in Rural Areas? Evidence from 36 Developing Countries," World Development, Elsevier, vol. 33(8), pages 1285-1305, August.
- Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
- Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-55, March-Apr.
- Van de Poel, Ellen & O'Donnell, Owen & Van Doorslaer, Eddy, 2007. "Are urban children really healthier? Evidence from 47 developing countries," Social Science & Medicine, Elsevier, vol. 65(10), pages 1986-2003, November.
- Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
- Bhargava, Alok, 2003. "Family planning, gender differences and infant mortality: evidence from Uttar Pradesh, India," Journal of Econometrics, Elsevier, vol. 112(1), pages 225-240, January.
- Jens Andvig & Sudharshan Canagarajah & Anne Kielland, 2001. "Child Labor in Africa : Issues and Challenges," World Bank Other Operational Studies 9791, The World Bank.
- World Bank, 2006. "World Development Indicators 2006," World Bank Publications, The World Bank, number 8151, June.
- Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2002. "Reliable estimation of generalized linear mixed models using adaptive quadrature," Stata Journal, StataCorp LP, vol. 2(1), pages 1-21, February.
- Rabe-Hesketh, Sophia & Skrondal, Anders & Pickles, Andrew, 2005. "Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects," Journal of Econometrics, Elsevier, vol. 128(2), pages 301-323, October.
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