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 |
|---|---|
| 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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| 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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| AbstractList | 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. 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. |
| Author | Simone, Rosaria Capecchi, Stefania Iannario, Maria |
| Author_xml | – sequence: 1 givenname: Stefania surname: Capecchi fullname: Capecchi, Stefania – sequence: 2 givenname: Maria surname: Iannario fullname: Iannario, Maria – sequence: 3 givenname: Rosaria surname: Simone fullname: Simone, Rosaria |
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| Keywords | models Happiness Uncertainty Well-being Relational goods Ordinal data |
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| SubjectTerms | Aging (Individuals) Beliefs Cultural Background Decision making Expenditures Families & family life Feedback (Response) Friendship Happiness Human Geography Interpersonal Competence Interpersonal Relationship Least Squares Statistics Leisure Time Life Satisfaction Marital Status Microeconomics Public Health Quality of Life Quality of Life Research Reference Materials Relational goods Response Style (Tests) Social activities Social Capital Social Integration Social Problems Social research Social Sciences Sociology Statistical analysis Statistical Distributions Statistical models Time use Uncertainty Usefulness Well Being |
| Subtitle | A Model-Based Approach to Detect Significant Relationships |
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| Title | Well-Being and Relational Goods |
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