Using high-frequency data to measure the resilience of households to food insecurity and women’s dietary diversity in Uganda

Abstract We contribute to the understanding of household resilience to shocks by using high-frequency data collected in short spans of two to three months. We examine three issues: first, whether frequent shocks within the year affect households’ food security in short periods of two to three months. Secondly, whether Resilience Index Measurement and Analysis (RIMA II) can be used to measure the resilience capacity of households to shocks using high-frequency data, and whether the accumulation of shocks erodes this resilience. Thirdly, whether the resilience estimation using RIMA II compares closely with the subjective resilience measure. Our study reveals that (1) shocks specifically drought and theft of agriculture produce within the year affect the food security of the households, (2) RIMA-II metrics can be used to measure the resilience capacity of households with high-frequency data collected in six months duration, (3) the asset pillar is a crucial factor in ensuring the resilience of households within short periods (4) RIMA II and the subjective resilience measure are moderately comparable and each may identify different factors that constitute resilience. The results highlight the need for development and humanitarian agencies to consider supporting asset building and non-farm income-generating activities to moderate the effects of shocks on resilience.