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Multidimensional Poverty Modeling for Namibia Using the Beta Distribution

Author

Listed:
  • Ndubano Mafale
  • Dismas Ntirampeba
  • Jacob Ong’ala

Abstract

Despite global efforts in alleviating poverty, many people are still living in poverty. Different methods were employed to estimate poverty with many researchers moving from monetary to multidimensional poverty modeling approach. In Namibia, very few studies have been conducted to estimate poverty in a multidimensional sense. The 2015/2016 Namibia household income and expenditure survey dataset was employed to develop multidimensional poverty indices (MPIs) using beta distribution. We showed that the MPI is equivalent to the mean of the left truncated beta distribution. The results revealed that the northern regions of Namibia are the most affected by multidimensional poverty. The results from this study can be used to identify areas that are severely affected by poverty and consequently form a basis to develop appropriate measures intended to alleviate poverty.

Suggested Citation

  • Ndubano Mafale & Dismas Ntirampeba & Jacob Ong’ala, 2021. "Multidimensional Poverty Modeling for Namibia Using the Beta Distribution," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 10(6), pages 1-47, December.
    • Handle: RePEc:ibn:ijspjl:v:10:y:2021:i:6:p:47
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    References listed on IDEAS

    as
    1. Su-Jung Nam, 2020. "Multidimensional Poverty among Female Householders in Korea: Application of a Latent Class Model," Sustainability, MDPI, vol. 12(2), pages 1-11, January.
    2. B. Decerf, 2017. "Conciliating Absolute and Relative Poverty: Income Poverty Measurement Beyond Sen’s Model," Working Papers 1701, University of Namur, Department of Economics.
    3. Adepoju, A., 2018. "determinants of multidimensional poverty transitions among rural households in Nigeria," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276027, International Association of Agricultural Economists.
    4. Venugopal Mothkoor & Nina Badgaiyan, 2021. "Estimates of multidimensional poverty for India using NSSO-71 and -75," WIDER Working Paper Series wp-2021-1, World Institute for Development Economic Research (UNU-WIDER).
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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