Resilience has become one of the keywords in the recent scholarly and policy debates on food
security. However, household resilience to food insecurity is unobservable ex ante. Therefore,
the two key issues in empirical research and program implementation are how to estimate a
proxy index of household resilience on the basis of observable variables and assess whether
this index is a good indicator of the construct it intends to measure, i.e. household resilience.
This paper contributes to this literature providing evidence based on two case studies:
Tanzania and Uganda.
Specifically, the paper: (i) proposes a method to estimate a resilience index and analyses what
are the most important components of household resilience, (ii) tests whether the household
resilience index is a good predictor of future food security status and food security recovery
capacity after a shock, and (iii) explores how idiosyncratic and covariate shocks affects
resilience and household food security.
The analysis shows that: (i) in both countries adaptive capacity is the most important
dimension contributing to household resilience, (ii) the resilience index positively influences
future household food security status, decreases the probability of suffering a food security loss
should a shock occur and speeds up the recovery after the loss occurrence, and (iii) shocks have
a negative effect on food security and resilience contributes to reduce the negative impacts of
these shocks, though this is not proven for self-reported and idiosyncratic shocks.