The effects of meternal education versus cognitive test scores on child nutrition in Kenya
This paper estimates dynamic random effects models for intakes by 100 Kenyan school children (6-9 years) of dietary energy, protein, calcium, iron, zinc, niacin, riboflavin, thiamin, and vitamins A, C, D, and E within a multivariate longitudinal framework. The explanatory variables were socioeconomic and background variables, children’s height and weight, and maternal education, cognitive test scores and morbidity spells. The model parameters were estimated using the maximum likelihood method controlling for the unobserved between-children differences. The main findings were, first, that while maternal education was usually not a significant predictor of the intakes, maternal scores on cognitive tests strongly predicted children’s dietary intakes. Second, the paternal cognitive scores and maternal morbidity levels were not significantly associated with the intakes. Third, an index of socioeconomic status and cash income was a significant predictor. The results indicated the need to consider broader measures of human development in developing countries and of implementing educational programs for women without school education.
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- Bhargava, Alok, 1991. "Identification and Panel Data Models with Endogenous Regressors," Review of Economic Studies, Wiley Blackwell, vol. 58(1), pages 129-40, January.
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- Bhargava, Alok & Sargan, J D, 1983. "Estimating Dynamic Random Effects Models from Panel Data Covering Short Time Periods," Econometrica, Econometric Society, vol. 51(6), pages 1635-59, November.
- Alok Bhargava & Jiang Yu, 1997. "A Longitudinal Analysis of Infant and Child Mortality Rates in Developing Countries," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 32(2), pages 141-153, July.
- Bouis, Howarth E. & Haddad, Lawrence J., 1992. "Are estimates of calorie-income fxelasticities too high? : A recalibration of the plausible range," Journal of Development Economics, Elsevier, vol. 39(2), pages 333-364, October.
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