This paper presents a methodology to measure vulnerability to asset-poverty. Using
repeated cross-section data, age cohort decomposition techniques focusing on second-
order moments can be used to identify and estimate the variance of shocks on assets and,
therefore, the probability of being poor in the future. Estimates from the Ghana Living
Standard Surveys show that expected asset-poverty is a reliable proxy for expected
consumption-poverty. Applying the methodology to nine Demographic Health Surveys …