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Title

PREDICTION OF THE LIKELIHOOD OF HOUSEHOLDS FOOD SECURITY IN THE LAKE VICTORIA REGION OF KENYA

Keywords

household; food; security; logistic; probability

Description

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.


Date

2011-06-01

Identifier


Source

Pakistan Journal of Statistics and Operation Research; Vol 7. No. 2, July 2011



Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810