RETHINKING MULTIDIMENSIONAL POVERTY IN BANGLADESH: HOW DO WEIGHTS INFLUENCE THE MAPPING?

The complexity of poverty is widely acknowledged, as it involves various contributing factors. This study centers on implementing the modified Alkire-Foster methodology to establish a multidimensional poverty index. Utilizing data from the 2019 Multiple Indicator Cluster Survey, encompassing three d...

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Bibliographic Details
Published in:Journal of economic development 2024-03, Vol.49 (1), p.43-61
Main Authors: Sohrab, Tarannum, Alam, Tasneem Fatima, Sultana, Nayeem, Fasse, Anja, Rayhan, Md Israt
Format: Article
Language:English
Subjects:
Nutrition
Population
Poverty
Principal components analysis
Rural areas
Sustainable development
Online Access:Get full text
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Summary:The complexity of poverty is widely acknowledged, as it involves various contributing factors. This study centers on implementing the modified Alkire-Foster methodology to establish a multidimensional poverty index. Utilizing data from the 2019 Multiple Indicator Cluster Survey, encompassing three dimensions and ten well-being indicators, the analysis demonstrates that considering all indicators (n = 10,352) with no missing cases yields a multidimensional poverty index of 0.150. However, when incorporating missing cases as non-deprived individuals (n = 59,066), the index decreases to 0.104. Furthermore, utilizing modified principal component analysis, the poverty index is assessed at 0.260 (n = 10,352). The study's findings suggest that individuals in rural areas, particularly those headed by males, experience heightened deprivation compared to their counterparts.
ISSN:0254-8372