Estimating nutrition-income elasticities in sub-Saharan African:Implication on health

Kolawole Ogundari (), Shoichi Ito and Victor Okoruwa

MPRA Paper from University Library of Munich, Germany

Abstract: The study estimates calories, proteins and fats-income elasticities in sub Saharan Africa (SSA). Annual time series data for 43 countries covering 1975-2009 that yields a balanced panel was employed for the analysis. The nutrient-income elasticities are estimated based on the aggregate Engel Curve framework using Feasible Generalized Least Square (FGLS) technique that is robust to autocorrelation and non-parametric plot. The empirical results show that a 10% increase in income will lead to about a 0.90%, 0.87%, and 0.73% rise in fats, proteins and calories supply, respectively in the region. This shows that the estimated nutrient-income elasticities are of small size. Other results show that the relationship between calorie and protein-income was found to be non-linear at higher income and diminished, as revealed by the estimated aggregate Engel Curve and non-parametric plot.

Keywords: Nutrition; health; income elasticity; cross-country; and SSA (search for similar items in EconPapers)
JEL-codes: E0 E00 I1 I10 (search for similar items in EconPapers)
Date: 2014-07-16
New Economics Papers: this item is included in nep-afr, nep-agr, nep-hea and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Estimating nutrition-income elasticities in sub-Saharan Africa: implications on health (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:63523

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