poverty concentration patterns. However, few are the cases where adequate data exist at a low spatial level, in order for … scientists to explore that kind of socio-spatial phenomena. This paper tries to investigate the evolution of poverty within urban … calculation of the Multidimensional Poverty Index (MPI) for the years 2006 and 2011. Using cluster analysis based on the MPI …

both of these composite indices of poverty measurement. The results show that increases in the income from a cash grant … among low and even middle income countries. It helps mitigate income poverty and inequality, and has been shown to have a …. This paper uses the National Income Dynamics Survey (NIDS) to derive the Multidimensional Poverty Index (MPI) and …

This paper estimates and decomposes multidimensional poverty in 82 natural regions in India using unit data from the … Indian Human Development Survey (IHDS), 2011-12. Multidimensional poverty is measured in the dimensions of health, education …, living standard and household environment using eight indicators and Alkire-Foster methodology. The unique contributions of …

poverty indices to data contamination using the concept of the influence function. We show that poverty and inequality indices … have fundamentally different robustness properties, and demonstrate that an imporrtant commonly used subclass of poverty … measures will be robust under data conta m ination. We investigate both the case where the poverty line is exogenenously fixed …