Prediction of the Likelihood of Households Food Security in the Lake Victoria Region of Kenya
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Date
2011Author
Mwita, Peter N.
Otieno, Romanus Odhiambo
Masanja, Verdiana Grace
Muyanja, Charles
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Show full item recordAbstract
This paper considers the modeling and prediction of households food security status using a
sample of households in the Lake Victoria region of Kenya. A priori expected food security factors
and their measurements are given. A binary logistic regression model derived was fitted to
thirteen priori expected factors. Analysis of the marginal effects revealed that effecting the use of
the seven significant determinants: farmland size, per capita aggregate production, household
size, gender of household head, use of fertilizer, use of pesticide/herbicide and education of
household head, increase the likelihood of a household being food secure. Finally, interpretations
of predicted conditional probabilities, following improvement of significant determinants, are
given