Revising the Global Multidimensional Poverty Index: Empirical Insights and Robustness
分析了2018年修订的全球多维贫困指数对105个发展中国家8.78百万个体观测数据的影响，检验了国家排序对参数变化的稳健性，发现修订后的排序至少与原版同样稳健。
The global Multidimensional Poverty Index, published annually since 2010, captures acute multidimensional poverty in the developing world. In 2018, five of its ten indicators were revised with the purpose of aligning the index to the Sustainable Development Goals (SDGs) insofar as current data permit. This paper provides comprehensive analyses of the consequences of this revision from three perspectives. First, we thoroughly discuss new empirical insights for 105 countries in the developing world based on a data set including 8.78 million individual observations. Second, we analyze the robustness of country orderings to changes in key parameters, including the poverty cutoff and dimensional weights. Third, we compare the revised and the original specifications by implementing both on the same 105 national data sets. The country orderings in the revised specification are found to be robust to a range of plausible parametric alternatives. Largely, these country orderings are at least as robust as the original one.