Logo
Munich Personal RePEc Archive

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

Ogundari, Kolawole and Ito, Shoichi and Okoruwa, Victor (2014): Estimating nutrition-income elasticities in sub-Saharan African:Implication on health.

[img]
Preview
PDF
MPRA_paper_63523.pdf

Download (411kB) | Preview

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.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.