Conference paper Open Access

New Methods and Novel Data for Estimating Seasonal Hunger

Hennessy, Conor; Anderson, C. Leigh

We develop a model to estimate hunger as a function of climate indicators and nightlight intensity, measures of which are publicly available and updated monthly. We then compare this model to estimates of hunger based solely on time of year and past hunger rates at that time of year, and a model based on crop yields from the LSMS-ISA survey. These comparisons demonstrate how a model based on monthly, publicly available data and trained on past hunger data compares to a model based on no data other than the past hunger data, and a model based on agricultural survey data. The model based on monthly, publicly available data performs almost as well as the model based on survey data, illustrating how new frequently available data sources can aid development stakeholders in combatting food insecurity.

Files (46.2 kB)
Name Size
46.2 kB Download
All versions This version
Views 114114
Downloads 2020
Data volume 923.5 kB923.5 kB
Unique views 103103
Unique downloads 2020


Cite as