Optimized multidimensional poverty reduction subject to aid targeting and tailoring: A variety of models centered on policy-makers’ capabilities
This study supports national planners at determining the types and magnitudes of interventions, and the specific population groups that should be targeted to achieve a desired reduction in the Multidimensional Poverty Index (MPI) efficiently. In the post COVID era, survey data and MPI methods aim to assess the impacts of COVID-19 on multidimensional poverty. This study proposes models guiding policymakers on the path to recovery from COVID-19 (or any other emerging crisis) and toward meeting the 2030 Agenda Goals, thus ensuring efficient policy action and efficient resource allocation.