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Determinants of Poverty in Somalia: A Logit Model Analysis

Author

Listed:
  • Abdiweli Mohamed MOHAMOUD
  • Erol BULUT

Abstract

The main purpose of this study is to identify the key factors that determine a household’s poverty status. The study uses an econometric method, which called “logistic regression†analysis to determine the probability of a household being poor. The data used in the study is obtained from Somali High-Frequency Survey (SHFS) Wave II conducted by World Bank in collaboration with Somali statistical authorities in December 2017. The study found that type of residence household size, household head education, the share of literate in the household, access to electricity and small family business, agriculture fishing and hunting significantly explain the variation in the likelihood of being poor. Share of males in the household and agriculture, fishing and hunting as the main source of income for households reduces the probability of being poor. The study does not found a strong relationship between the probability of being the poor and the educational level of the household head.

Suggested Citation

  • Abdiweli Mohamed MOHAMOUD & Erol BULUT, 2020. "Determinants of Poverty in Somalia: A Logit Model Analysis," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 2.
    • Handle: RePEc:fis:journl:200209
    DOI: 10.25295/fsecon.2020.02.009
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    References listed on IDEAS

    as
    1. Glewwe, Paul, 1991. "Investigating the determinants of household welfare in Cote d'Ivoire," Journal of Development Economics, Elsevier, vol. 35(2), pages 307-337, April.
    2. Brück, Tilman & Danzer, Alexander M. & Muravyev, Alexander & Weisshaar, Natalia, 2010. "Poverty during transition: Household survey evidence from Ukraine," Journal of Comparative Economics, Elsevier, vol. 38(2), pages 123-145, June.
    3. Shahnawaz Malik, 1996. "Determinants of Rural Poverty in Pakistan: A Micro Study," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 35(2), pages 171-187.
    4. Nicholas Minot & Bob Baulch, 2005. "Poverty Mapping with Aggregate Census Data: What is the Loss in Precision?," Review of Development Economics, Wiley Blackwell, vol. 9(1), pages 5-24, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

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    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

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