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

Tarannum Sohrab, Tasneem Fatima Alam, Nayeem Sultana, Anja Fasse, MD Israt Rayhan

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)43-61
Number of pages19
JournalJournal of Economic Development
Volume49
Issue number1
DOIs
StatePublished - Mar 2024

Keywords

  • Bangladesh
  • Decomposition
  • Multidimensional poverty index
  • Multiple Indicator Cluster Survey
  • Principal component analysis

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