April 2024
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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 (= 10,352) with no missing cases yields a multidimensional poverty index of 0.150. However, when incorporating missing cases as non-deprived individuals (= 59,066), the index decreases to 0.104. Furthermore, utilizing modified principal component analysis, the poverty index is assessed at 0.260 (= 10,352). The study's findings suggest that individuals in rural areas, particularly those headed by males, experience heightened deprivation compared to their counterparts.