Panel survey data play a crucial role in producing estimates on welfare dynamics as well as insights into transformation processes in developing economies. Panel survey data are indispensable for effective policy advice for poverty reduction and growth. Fielding and maintaining a good-quality panel survey requires investment in financial and technical resources as well as careful planning, especially in developing countries. Statistical techniques can also be employed to produce estimates on poverty dynamics as an alternative methodology, but a new hybrid approach can combine the advantages of both methods.