AMR

Resilience Analysis and Measurement (AMR)

Objective

RAM is an econometric model designed to inform decision-makers about the resilience status of populations and the factors contributing to that resilience.

amr

Resilience to food insecurity refers to the capacity of a population, household, or individual to anticipate, absorb, adapt to, and recover from food-related shocks while sustainably preserving or restoring their livelihoods, whether agricultural or non-agricultural (FAO). This definition highlights the unobservable and multidimensional nature of resilience. Several approaches exist to estimate resilience to food insecurity. The CILSS Resilience Analysis and Measurement (AMR) approach simulates an econometric model to obtain a resilience index. The resilience index (RI), developed through the RAM approach, is a result of collaboration between CILSS and FAO, responding to regional countries' needs for support in resilience analysis and assessment. It integrates coherence with other food security analysis processes such as the Harmonized Framework for identifying and analyzing risk zones and vulnerable populations in the Sahel and West Africa. This tool, adapted to the Sahel and West Africa context, serves to inform governments about population resilience status and household resilience factors within the CILSS-ECOWAS area. The AMR resilience index is the outcome of an inclusive process involving CILSS and selected countries participating in pilot analyses. It is derived from a structural equation model with latent variables.

Indicators

Resilience index by zone

amr