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

Author

Listed:
  • SOHRAB , TARANNUM

    (University of Dhaka, Bangladesh)

  • FATIMA ALAM , TASNEEM

    (McGill University, Canada)

  • SULTANA , NAYEEM

    (University of Dhaka, Bangladesh)

  • FASSE, ANJA

    (Technical University of Munich, Germany)

  • RAYHAN , MD. ISRAT

    (University of Dhaka, Bangladesh)

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.

Suggested Citation

  • Sohrab , Tarannum & Fatima Alam , Tasneem & Sultana , Nayeem & Fasse, Anja & Rayhan , Md. Israt, 2024. "Rethinking Multidimensional Poverty in Bangladesh: How Do Weights Influence the Mapping?," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 49(1), pages 43-61, March.
    • Handle: RePEc:ris:jecdev:0079
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    More about this item

    Keywords

    Multidimensional poverty index; Decomposition; Multiple Indicator Cluster Survey; Principal component analysis; Bangladesh;
    All these keywords.

    JEL classification:

    • B21 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Microeconomics
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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