EXPLOITING ORDINAL DATA FOR SUBJECTIVE WELL-BEING EVALUATION 

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Statistics in Transition New Series

Polish Statistical Association

Central Statistical Office of Poland

Subject: Economics , Statistics & Probability

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ISSN: 1234-7655
eISSN: 2450-0291

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VOLUME 16 , ISSUE 3 (September 2015) > List of articles

EXPLOITING ORDINAL DATA FOR SUBJECTIVE WELL-BEING EVALUATION 

Marco Fattore * / Filomena Maggino * / Alberto Arcagni *

Keywords : subjective well-being, multidimensional ordinal data, partial order.

Citation Information : Statistics in Transition New Series. Volume 16, Issue 3, Pages 409-428, DOI: https://doi.org/10.21307/stattrans-2015-023

License : (CC BY 4.0)

Published Online: 01-November-2017

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ABSTRACT

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.

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