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The primary objective of the report is to provide practical proposals to support Arab efforts in the eradication of poverty in all its dimensions and the implementation of the 2030 Agenda. To this end, the report examines household and child poverty using normative methodologies which were adapted to the needs of the Arab region after a consultative process with regional and global experts, and representatives of governments in the region. After establishing the root causes of multidimensional poverty in the Arab region, the report offers key recommendations for addressing gaps in education, improving social protection systems, investing in children, developing rural areas and accounting for the challenges and limitations in the development of an Arab multidimensional poverty index.

AbstractUrban poverty is complex and conventional money‐metric poverty fails to measure the multiple deprivations of the urban population. Though recent estimates of multidimensional poverty do capture multiple deprivations, they do not capture the extent of multidimensional poverty in urban India. Using the urban sample from the National Family Health Survey, 2015–16, this paper estimates and decomposes multidimensional poverty in urban India. Urban poverty is measured in four key domains: Education, health, standard of living, and housing. A multilevel logistic model is used to decompose the variations in multidimensional poverty across geographical regions. Results suggest that about one‐third of the urban Indian population is multidimensionally poor and one‐sixth is vulnerable to multidimensional poverty. The state patterns of multidimensional poverty were diverse, with more than half of the urban population in Manipur and Bihar being multidimensionally poor, followed by Nagaland and Uttar Pradesh. On controlling for household characteristics, 17.5% of the total variation in multidimensional poverty was attributable to census enumeration blocks, 6.6% to districts, 1.8% to regions, and 9.9% to states. The odds of multidimensional poverty were higher among large households, female‐headed households, widowed, and scheduled tribes. Contextualizing multidimensional poverty and prioritizing vulnerable groups and regions are essential for reducing multidimensional poverty in urban India.

A systematic conceptual, theoretical, and methodological introduction to multidimensional poverty measurement and analysis. It provides a lucid overview of the problems a range of multidimensional techniques can address and sets out a synthetic introduction of counting and axiomatic approaches to such measurement