WEIGHTS IN MULTIDIMENSIONAL INDICES OF WELLBEING: AN OVERVIEW
WEIGHTS IN MULTIDIMENSIONAL INDICES OF WELLBEING: AN OVERVIEW
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DOI：
10.1080/07474938.2012.690641
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发表时间：
2013-01-01
影响因子：
1.2
通讯作者：
Lugo, Maria Ana
中科院分区：
文献类型：
--
作者：
Decancq, Koen;Lugo, Maria Ana
多层面指数正在成为评估社会福祉的越来越重要的工具。它们超越了对单一指标的关注，但它们很容易提出和传播。构建多层面福祉指数的一个关键步骤是选择不同层面的相对权重。本文的目的是研究这些权重的作用，并严格调查八种不同的方法来设置它们。我们将方法分为三类：数据驱动，规范和混合加权，并比较各自的优点和缺点。
Multidimensional indices are becoming increasingly important instruments to assess the wellbeing of societies. They move beyond the focus on a single indicator and yet they are easy to present and communicate. A crucial step in the construction of a multidimensional index of wellbeing is the selection of the relative weights for the different dimensions. The aim of this article is to study the role of these weights and to critically survey eight different approaches to set them. We categorize the approaches in three classes: data-driven, normative, and hybrid weighting, and compare their respective advantages and drawbacks.