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  • 标题:EXPLOITING ORDINAL DATA FOR SUBJECTIVE WELL-BEING EVALUATION
  • 本地全文:下载
  • 作者:Marco Fattore ; Filomena Maggino ; Alberto Arcagni
  • 期刊名称:Statistics in Transition
  • 印刷版ISSN:1234-7655
  • 电子版ISSN:2450-0291
  • 出版年度:2015
  • 卷号:16
  • 期号:3
  • 页码:409-428
  • DOI:10.21307/stattrans-2015-023
  • 出版社:Exeley Inc.
  • 摘要:The evaluation of subjective well-being, and of similar issues related to quality of life, is usually addressed through composite indicators or counting procedures. This leads to inconsistencies and inefficiency in the treatment of ordinal data that, in turn, affect the quality of information provided to scholars and to policy-makers. In this paper we take a different path and prove that the evaluation of multidimensional ordinal well-being can be addressed in an effective and consistent way, using the theory of partially ordered sets. We first show that the proper evaluation space of well-being is the partially ordered set of achievement profiles and that its structure depends upon the importance assigned to well-being attributes. We then describe how evaluation can be performed extracting information out of the evaluation space, respecting the ordinal nature of data and producing synthetic indicators without attribute aggregation. An application to subjective well-being in Italy illustrates the procedure.
  • 关键词:subjective well-being;multidimensional ordinal data;partial order.
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