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Working Paper 149 - Accounting for Poverty in Africa: Illustration with Survey Data from Nigeria

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Abstract

Apart from presenting the poverty profile, this paper examines the correlates of poverty with multivariate models that predict the probability of being poor using data from the Nigerian National Consumer Survey (NCS) of 2003/2004. The probability of a household being poor was examined for the nation as a whole, as well as male-headed and female-headed households and for urban/rural geographical areas. In particular, the variables that are positively and significantly correlated with the probability of being poor nationally are: household size, lack of education, residence in the North Central zone, being single, and being a Moslem. The variables that are negatively and significantly correlated with the probability of being poor are: age of the household head, quadratic of household size, residence in an urban area, post-secondary (tertiary) education attainment, being a Christian, and residence in the south south, southeast, south west, and north east zones of the country. Based on the results, we recommend a number of policy interventions (including a broad poverty reduction framework) necessary to reduce poverty in Nigeria and similar African countries.

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  • John Anyanwu, 2012. "Working Paper 149 - Accounting for Poverty in Africa: Illustration with Survey Data from Nigeria," Working Paper Series 383, African Development Bank.
    • Handle: RePEc:adb:adbwps:383
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    1. Ncube, Mthuli & Brixiova, Zuzana & Bicaba, Zorobabel, 2014. "Can Dreams Come True? Eliminating Extreme Poverty in Africa by 2030," IZA Discussion Papers 8120, Institute of Labor Economics (IZA).
    2. Zorobabel Bicaba & Zuzana Brixiova & Mthuli Ncube, 2016. "Eliminating Extreme Poverty in Africa: Trends, Policies and the Role of International Organizations," SALDRU Working Papers 170, Southern Africa Labour and Development Research Unit, University of Cape Town.
    3. Ogundari, Kolawole, 2013. "Determinants of food-poverty states and the demand for dietary diversity in Nigeria," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161302, African Association of Agricultural Economists (AAAE).
    4. Ogunniyi Adebayo & Kehinde Olagunju & Salman K. Kabir & Ogundipe Adeyemi, 2016. "Social Crisis, Terrorism and Food Poverty Dynamics: Evidence from Northern Nigeria," International Journal of Economics and Financial Issues, Econjournals, vol. 6(4), pages 1865-1872.
    5. A. O. Omotayo & J. O. Saka & I. A. Adenuga & A. A. Adebayo, 2014. "Demographic Features of the Nigerian Household: Does It Matter For Poverty?," Journal of Empirical Economics, Research Academy of Social Sciences, vol. 2(3), pages 159-170.
    6. John C. Anyanwu, 2014. "Marital Status, Household Size and Poverty in Nigeria: Evidence from the 2009/2010 Survey Data," African Development Review, African Development Bank, vol. 26(1), pages 118-137, March.
    7. John Anyanwu, 2013. "Working Paper 180 - Marital Status, Household Size and Poverty in Nigeria: Evidence from the 2009-2010 Survey Data," Working Paper Series 978, African Development Bank.
    8. Zorobabel Bicaba & Zuzana Brixiova & Mthuli Ncube, 2015. "Working Paper 223 - Eliminating Extreme Poverty in Africa: Trends, Policies and the Role of International Organizations," Working Paper Series 2163, African Development Bank.

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