The effects of meternal education versus cognitive test scores on child nutrition in Kenya
AbstractThis 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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Bibliographic InfoPaper provided by Econometric Society in its series Econometric Society 2004 North American Winter Meetings with number 39.
Date of creation: 11 Aug 2004
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Anthropometry; cognitive tests; econometric models; economic development; maternal education; maximum likelihood estimation; nutrition;
Other versions of this item:
- Bhargava, Alok & Fox-Kean, Melanie, 2003. "The effects of maternal education versus cognitive test scores on child nutrition in Kenya," Economics & Human Biology, Elsevier, vol. 1(3), pages 309-319, December.
- I0 - Health, Education, and Welfare - - General
- I1 - Health, Education, and Welfare - - Health
- I2 - Health, Education, and Welfare - - Education
- O1 - Economic Development, Technological Change, and Growth - - Economic Development
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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Research Department Publications
3192, Inter-American Development Bank, Research Department.
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