Estimating poverty: A state-of-the-art of methods

Yasmina Vizuete-Salazar, Marco Segura-Morales, Edison Loza Aguirre
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Abstract

In the report "Poverty and Shared Prosperity 2018: Piecing Together the Poverty Puzzle", the World Bank points out that "as the world gets richer and progress is made in the battle against extreme poverty, we must not forget that many around the world still live in deprivation, unable to meet their basic needs, even if their income is higher than the International Poverty Line". This statement establishes two challenges: 1) understanding the complexity of poverty as a multidimensional phenomenon, and, 2) choosing an adequate measure mechanism, which increases data accuracy of poverty, obtaining the closest representation of living conditions of poor people. Nowadays, the compilation of poverty data is a high-cost task for governments due the need of a great amount of financial and human resources. This limitation makes it almost impossible to rely on immediate updated information. This article compiles the evolution of poverty measurement methods and alternatives to gather poverty data that can reduce the costs and time required to update such information.
估计贫困:最先进的方法
世界银行在《2018年贫困与共享繁荣:解开贫困谜团》报告中指出,“随着世界变得越来越富裕,在与极端贫困的斗争中取得进展,我们不能忘记,世界上仍有许多人生活在贫困中,即使他们的收入高于国际贫困线,也无法满足他们的基本需求。”这种说法提出了两个挑战:1)理解贫困作为一个多维现象的复杂性;2)选择一个适当的衡量机制,提高贫困数据的准确性,获得最接近穷人生活条件的代表。目前,贫困数据的编制对政府来说是一项高成本的任务,需要大量的财力和人力资源。这种限制使得几乎不可能依赖即时更新的信息。本文汇编了贫困衡量方法的演变和收集贫困数据的替代方法,这些方法可以减少更新此类信息所需的成本和时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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