This study aims to estimate the nonmonetary multidimensional poverty index (MPI) for Ethiopia using the counting approach of Alkire and Foster and the 2016 Ethiopia Demographic Health Survey (DHS) data. Fourteen country‐specific indicators are used for the poverty estimation using equal and unequal weighting approaches. It is found that, the estimation with unequal weighting gives a much higher level of MPI compared to the equal weighting approach. The results also show that cooking fuel, electricity, housing, and women's literacy are more relevant indicators of multidimensional poverty in Ethiopia. The contribution of place of delivery, domestic violence, and women's right to make decisions is also not minimal. It is also found that the MPI estimation depends on the specific weighting method used, number of dimensions and indicators selected for estimation, and cross‐dimensional cut‐off applied. Hence, policies that lessen poverty by improving cooking fuel, electricity, housing, and women's literacy, which are particularly focussed on rural areas, are needed. In addition, the application of unequal weighting, which enables us to see the trade‐off between dimensions, is better to determine the indicators in which society is more deprived than equal weighting.

中文翻译：

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埃塞俄比亚的非货币贫困：多维方法

这项研究旨在使用Alkire和Foster的计数方法以及2016年埃塞俄比亚人口健康调查（DHS）数据，估算埃塞俄比亚的非货币多维贫困指数（MPI）。使用相等和不相等的加权方法，使用十四个特定于国家的指标进行贫困评估。结果发现，与相等加权方法相比，具有不相等加权的估计给出了更高的MPI水平。结果还表明，烹饪燃料，电力，住房和妇女识字率是埃塞俄比亚多维贫困的更相关指标。产地，家庭暴力和妇女的决定权的贡献也不小。还发现，MPI估算取决于所使用的特定加权方法，选择用于估算的维数和指标的数量，并应用跨维截断法。因此，需要通过改善烹饪燃料，电力，住房和妇女素养来减轻贫困的政策，这些政策尤其侧重于农村地区。此外，不平等权重的应用使我们能够看到维度之间的权衡，这比确定等权重更好地确定了社会更贫困的指标。