Well-Being and Relational Goods A Model-Based Approach to Detect Significant Relationships

A statistical framework for modelling subjective perceptions expressed through ratings is presented. The paper deals with the relationships between personal covariates and self-declared happiness, taking into account several social activities, such as spending time with family and friends, participa...

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Bibliographic Details
Published inSocial indicators research Vol. 135; no. 2; pp. 729 - 750
Main Authors Capecchi, Stefania, Iannario, Maria, Simone, Rosaria
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Science + Business Media 01.01.2018
Springer Netherlands
Springer Nature B.V
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ISSN0303-8300
1573-0921
DOI10.1007/s11205-016-1519-7

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Summary:A statistical framework for modelling subjective perceptions expressed through ratings is presented. The paper deals with the relationships between personal covariates and self-declared happiness, taking into account several social activities, such as spending time with family and friends, participating in groups and associations, and so on. Our setting concerns a class of statistical models able to measure the effects on life satisfaction of the relational goods which have been proved significant in a large sample of respondents. By means of these models, the proposal enhances the different contributions of subjects’ covariates on their response patterns. The selected approach is based on a mixture model to interpret the assessed perception of two unobserved components, denoted as feeling and uncertainty, respectively, as a blend of real beliefs and indecision. Empirical evidence to support the usefulness of this methodological perspective is provided by a recent observational survey concerning happiness and relational goods.
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ISSN:0303-8300
1573-0921
DOI:10.1007/s11205-016-1519-7