Towards a Global Assets Indicator: Re-assessing the Assets Indicator in the Global Multidimensional Poverty Index
Towards a Global Assets Indicator: Re-assessing the Assets Indicator in the Global Multidimensional Poverty Index
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迈向全球资产指标：重新评估全球多维贫困指数中的资产指标
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发表时间：
2020
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通讯作者：
C. Mitchell
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作者：
Serge Kapto;M. Kovačević;Bilal Malaeb;C. Mitchell
本文展示了 2018 年 9 月推出的更新后的全球多维贫困指数（全球 MPI）的修订后资产指标如何巩固和改进了全球层面的资产剥夺衡量标准。此次修订结合了规范和统计方法，评估了牛津贫困与人类发展倡议和联合国开发计划署人类发展报告办公室（HDRO）于2010年联合设计的原始MPI中包含的7项资产清单和联合国开发计划署人类发展报告办公室（HDRO）于2014年制定的实验性MPI的11项资产清单的有效性。还分析了是否纳入了对100多个人口和健康问题的审查中确定的额外项目。调查、多指标类集调查和构建全球 MPI 的国家调查将为修订后的资产指标增加价值。本文借鉴欧盟物质剥夺指标的分析框架，辅以规范性评估，运用四向探索性因子分析、多重对应分析、经典检验理论、项目反应理论和替代措施，识别出一组代表全球资产剥夺的项目。在使用一组 26 个特意选择的国家时，测试结果用于排除不可行的资产，并最终证明将计算机和动物车添加到原始 MPI 的资产表中是合理的。基于这一经统计验证的扩展以及表中项目的更高可靠性，我们得出结论，合并和修订后的指标在全球范围内更准确地衡量资产剥夺情况。
This article demonstrates how the revised assets indicator of the updated global Multidimensional Poverty Index (global MPI), launched in September 2018, consolidated and improved the measurement of assets deprivation at the global level. The revision combines normative and statistical methods to assess the validity of the 7-item assets schedule contained in the Original MPI, jointly designed by the Oxford Poverty and Human Development Initiative and the UNDP Human Development Report Office (HDRO) in 2010, and an 11-item schedule of an Experimental MPI, which was developed by the UNDP HDRO in 2014. It also analysed whether the inclusion of additional items identified in a review of over 100 Demographic and Health Surveys, Multiple Indicators Cluster Surveys and national surveys from which the global MPI is constructed, would add value to a revised assets indicator. Drawing on the analytical framework developed for the European Union material deprivation indicator, complemented by normative assessment, this paper applies tetrachoric exploratory factor analysis, multiple correspondence analysis, classical test theory, item response theory and alternative measures to identify a set of items that proxy assets deprivation globally. In using a set of 26 purposefully selected countries, test results were used to rule out infeasible assets, and finally to justify the addition of computer and animal cart to the assets schedule of the Original MPI. Based on this statistically validated expansion, and greater reliability of the items in the schedule, we conclude that the consolidated and revised indicator measures assets deprivation more accurately at the global level.