Household Food Insecurity in Somalia: Extent, Determinants, and Policy Implications
Conference
10th International Conference on Agricultural Statistics
Format: CPS Paper - ICAS 2026
Keywords: food insecurity, household surveys, ordinal_regression, rasch model
Abstract
Food insecurity remains a significant challenge for Somali households, with 44.3 percent of the population experiencing moderate or severe food insecurity. This study aims to identify the determinants of household food insecurity in Somalia using ordinal logistic regression model to data from the Somalia Integrated Household Budget Survey (SIHBS) 2022. The response variable is derived from the Food Insecurity Experience Scale (FIES), which uses an underlying Rasch logistic measurement model to derive internationally comparable food insecurity severity estimates. The study applied the proportional odds model for ordered logistic regression after confirming that the proportional odds parallel assumption was not violated. The results from the model revealed that education of the household head and household access to electricity were significantly associated with the severity of the household food insecurity level in Somalia.
Figures/Tables
Determinants of Household Food Insecurity in Somalia (Ordered Logistic Regression).
