Robust Multidimensional Poverty Comparisons
展示如何利用多维福祉指标进行贫困比较，并检验比较结果是否稳健于加总方法和贫困线选择，适用于不同多维贫困定义方法，对发展经济学和贫困政策研究者有参考价值。
We demonstrate how to make poverty comparisons using multidimensional indicators of well-being, showing in particular how to check whether the comparisons are robust to aggregation procedures and to the choice of multidimensional poverty lines. In contrast to earlier work, our methodology applies equally well to what can be defined as 'union', 'intersection' or 'intermediate' approaches to dealing with multidimensional indicators of well-being. To make this procedure of some practical usefulness, the article also derives the sampling distribution of various multidimensional poverty estimators, including estimators of the 'critical' poverty frontiers outside which multidimensional poverty comparisons can no longer be deemed ethically robust. The results are illustrated using data from a number of developing countries. © 2006 The Author(s). Journal compilation Royal Economic Society 2006.