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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Published in | Social indicators research Vol. 135; no. 2; pp. 729 - 750 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer Science + Business Media
01.01.2018
Springer Netherlands Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 0303-8300 1573-0921 |
DOI | 10.1007/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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0303-8300 1573-0921 |
DOI: | 10.1007/s11205-016-1519-7 |