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Social Indicators Research
Published in: Social Indicators Research 2/2018

24-12-2016

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

Authors: Stefania Capecchi, Maria Iannario, Rosaria Simone

Published in: Social Indicators Research | Issue 2/2018

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Abstract

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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Metadata
Title
Well-Being and Relational Goods: A Model-Based Approach to Detect Significant Relationships
Authors
Stefania Capecchi
Maria Iannario
Rosaria Simone
Publication date
24-12-2016
Publisher
Springer Netherlands
Published in
Social Indicators Research / Issue 2/2018
Print ISSN: 0303-8300
Electronic ISSN: 1573-0921
DOI
https://doi.org/10.1007/s11205-016-1519-7

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