英文文献：Working Paper 149 - Accounting for Poverty in Africa: Illustration with Survey Data from Nigeria-工作文件149 -非洲贫穷的核算:用尼日利亚的调查数据进行说明
英文文献作者：John Anyanwu
英文文献摘要：
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.

除了提出贫困概况，本文还利用2003/2004年尼日利亚全国消费者调查(NCS)的数据，用预测贫困概率的多变量模型检验了贫困的相关关系。在全国范围内以及在城市/农村地理区域内审查了一个家庭贫穷的可能性，也审查了男户长和女户长的家庭。特别地，与全国贫困概率正显著相关的变量是:家庭规模、受教育程度、居住在北部中心区、单身和穆斯林。消极和显著相关的变量的概率差是:年龄的家庭的头,二次家庭规模、居住在市区,专上教育程度(三级),作为一个基督徒,和居住在南南,东南,西南,东北地区的国家。根据这些结果，我们建议采取一系列必要的政策干预措施(包括广泛的减贫框架)，以减少尼日利亚和类似的非洲国家的贫困。