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

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  • Stefania Capecchi

    (University of Naples Federico II)

  • Maria Iannario

    (University of Naples Federico II)

  • Rosaria Simone

    (University of Naples Federico II)

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.

Suggested Citation

  • Stefania Capecchi & Maria Iannario & Rosaria Simone, 2018. "Well-Being and Relational Goods: A Model-Based Approach to Detect Significant Relationships," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(2), pages 729-750, January.
    • Handle: RePEc:spr:soinre:v:135:y:2018:i:2:d:10.1007_s11205-016-1519-7
    DOI: 10.1007/s11205-016-1519-7
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    2. M. Meleddu & M. Pulina & G. Solinas & S. Capecchi, 2019. "Mixture models for consumers' preferences in healthcare," Working Paper CRENoS 201901, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    3. Corsi, Alessandro & Frontuto, Vito & Novelli, Silvia, 2022. "Relational goods and direct purchase from farmers: estimating the value of the relationship between consumers and producers," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 25(2), March.
    4. Luisa Corrado & Andrea Fazio & Alessandra Pelloni, 2020. "Pro-environmental attitudes, local environmental conditions and recycling behavior," Working Paper series 20-21, Rimini Centre for Economic Analysis, revised Nov 2021.
    5. Maria Iannario & Anna Clara Monti, 2022. "Modelling consumer perceptions of service quality for urban public transport systems using statistical models for ordinal data," METRON, Springer;Sapienza Università di Roma, vol. 80(1), pages 61-76, April.
    6. Stefania Capecchi & Rosaria Simone, 2019. "A Proposal for a Model-Based Composite Indicator: Experience on Perceived Discrimination in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 95-110, January.

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