Main Article Content

Abstract

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.

Keywords

household food security logistic probability

Article Details

Author Biographies

Peter Nyamuhanga Mwita, Jomo Kenyatta University of Agriculture and Technology

Department of Statistics and Actuarial Sciences,

Associate Professor

Romanus Odhiambo Otieno, Jomo Kenyatta University of Agriculture and Technology

Department of Statistics and Actuarial Sciences,

Professor

Verdiana Grace Masanja, University of Dar-Es-salaam

Department of Applied Mathematics,

Professor

Charles Muyanja, Makerere University

Department of Food Science and Technology

Associate Professor

How to Cite
Mwita, P. N., Otieno, R. O., Masanja, V. G., & Muyanja, C. (2011). PREDICTION OF THE LIKELIHOOD OF HOUSEHOLDS FOOD SECURITY IN THE LAKE VICTORIA REGION OF KENYA. Pakistan Journal of Statistics and Operation Research, 7(2), 331-346. https://doi.org/10.18187/pjsor.v7i2.241