Measuring Poverty Dynamics with Synthetic Panels Based on Repeated <scp>Cross Sections</scp>

Panel data are rarely available for developing countries. Departing from traditional pseudo-panel methods that require multiple rounds of cross-sectional to study poverty mobility at the cohort level, we develop a procedure works with as few two survey and produces point estimates transitions along welfare distribution more disaggregated household level. Validation using Monte Carlo simulations real actual panel – several countries, spanning different income levels geographical regions perform well under various deviations model assumptions. The method could also inform investigation other outcome dynamics.