- Author
- Fattore Marco (University of Milan, Italy), Maggino Filomena (University of Florence, Italy), Arcagni Alberto (University of Milan, Italy)
- Title
- Exploiting Ordinal Data for Subjective Well-Being Evaluation
- Source
- Statistics in Transition, 2015, vol. 16, nr 3, s. 409-428, rys., tab., bibliogr. s. 427-428
- Issue title
- The Measurement of Subjective Well-Being in Survey Research
- Keyword
- Pomiary, Jakość życia, Dobrobyt, Dobrostan
Measurement, Quality of life, Prosperity, Well-being - Note
- summ.
- Country
- Włochy
Italy - 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 policymakers. 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. (original abstract)
- Accessibility
- The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice
The Main Library of the Wroclaw University of Economics - Full text
- Show
- Bibliography
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- Cited by
- ISSN
- 1234-7655
- Language
- eng
