Rethinking Multidimensional Poverty in Bangladesh: How Do Weights Influence the Mapping?

Tarannum Sohrab, Tasneem Fatima Alam, Nayeem Sultana, Anja Fasse and Md. Israt Rayhan ()
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Tarannum Sohrab: University of Dhaka, Bangladesh
Tasneem Fatima Alam: McGill University, Canada
Nayeem Sultana: University of Dhaka, Bangladesh
Anja Fasse: Technical University of Munich, Germany
Md. Israt Rayhan: University of Dhaka, Bangladesh

Journal of Economic Development, 2024, vol. 49, issue 1, 43-61

Abstract: 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.

Keywords: Multidimensional poverty index; Decomposition; Multiple Indicator Cluster Survey; Principal component analysis; Bangladesh (search for similar items in EconPapers)
JEL-codes: B21 C01 I32 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:ris:jecdev:0079

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