This study analyzes uni-and multidimensional poverty and inequalities in rural and small towns in Ethiopia. Unlike the unidimensional measure, the multidimensional measure of poverty shows all the channels through which poverty may manifest itself; it also shows the extent of deprivation. The analysis uses 6 dimensions with 14 indicators to construct a multidimensional index of poverty and inequalities using Ethiopian Households’ Socioeconomic Survey dataset. The study also uses multiple correspondence analyses for determining relative weights in computing a multidimensional index and conducts a stochastic dominance analysis of distribution of poverty for different population segments. The paper sheds light on the degree of inequalities in consumption expenditure and multidimensional deprivations. In addition, it also compares the degree of poverty using the conventional measure of poverty and the multidimensional approach. It also examines the determinants of household poverty status using both unidimensional and multidimensional measures using the logit model. The results show that the intensity, severity, and depth of poverty varies substantially across the 2 measures. The unidimensional measure of poverty shows that 36 percent of the households were poor as compared to 46 percent multidimensionally poor households. Moreover, demographic, regional, and household heads’ characteristics also affect households’ poverty status.

这项研究分析了埃塞俄比亚农村和小城镇的一维和多维贫困与不平等。与一维测度不同，多维测度显示了贫困可能表现出来的所有渠道。它还显示了剥夺的程度。该分析使用6个维度和14个指标，使用埃塞俄比亚家庭社会经济调查数据集构建了贫困和不平等的多维指数。该研究还使用多重对应分析来确定计算多维指数时的相对权重，并对不同人群的贫困分布进行了随机优势分析。本文阐明了消费支出和多维剥夺的不平等程度。此外，它还使用传统的贫困衡量方法和多维方法来比较贫困程度。它还使用logit模型，使用一维和多维测量方法来研究家庭贫困状况的决定因素。结果表明，在这两项措施中，贫困的强度，严重程度和严重程度存在很大差异。对贫困的一维测量表明，有36％的家庭贫困，而多维贫困家庭为46％。此外，人口，地区和户主的特征也影响家庭的贫困状况。结果表明，在这两项措施中，贫困的强度，严重程度和严重程度存在很大差异。对贫困的一维测量表明，有36％的家庭贫困，而多维贫困家庭为46％。此外，人口，地区和户主的特征也影响家庭的贫困状况。结果表明，在这两项措施中，贫困的强度，严重程度和严重程度存在很大差异。对贫困的一维测量表明，有36％的家庭贫困，而多维贫困家庭为46％。此外，人口，地区和户主的特征也影响家庭的贫困状况。