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Exploiting Ordinal Data for Subjective Well-Being Evaluation

Author

Listed:
  • Filomena Maggino
  • Marco Fattore
  • Alberto Arcagni

Abstract

The evaluation of subjective well-being, and of similar issues related to quality of life, is usually addressed through composite indicators or counting procedures. This leads to inconsistencies and inefficiency in the treatment of ordinal data that, in turn, affect the quality of information provided to scholars and to policy-makers. In this paper we take a different path and prove that the evaluation of multidimensional ordinal well-being can be addressed in an effective and consistent way, using the theory of partially ordered sets. We first show that the proper evaluation space of well-being is the partially ordered set of achievement profiles and that its structure depends upon the importance assigned to well-being attributes. We then describe how evaluation can be performed extracting information out of the evaluation space, respecting the ordinal nature of data and producing synthetic indicators without attribute aggregation. An application to subjective well-being in Italy illustrates the procedure.

Suggested Citation

  • Filomena Maggino & Marco Fattore & Alberto Arcagni, 2015. "Exploiting Ordinal Data for Subjective Well-Being Evaluation," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(3), pages 409-428, September.
    • Handle: RePEc:csb:stintr:v:16:y:2015:i:3:p:409-428
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    References listed on IDEAS

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    1. Achille Lemmi & Gianni Betti (ed.), 2006. "Fuzzy Set Approach to Multidimensional Poverty Measurement," Economic Studies in Inequality, Social Exclusion, and Well-Being, Springer, number 978-0-387-34251-1, July.
    2. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    3. Mozaffar Qizilbash, 2006. "Philosophical Accounts of Vagueness, Fuzzy Poverty Measures and Multidimensionality," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Achille Lemmi & Gianni Betti (ed.), Fuzzy Set Approach to Multidimensional Poverty Measurement, chapter 1, pages 9-28, Springer.
    4. David Madden, 2010. "Ordinal and cardinal measures of health inequality: an empirical comparison," Health Economics, John Wiley & Sons, Ltd., vol. 19(2), pages 243-250, February.
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    Cited by:

    1. Cristina Sechel, 2019. "Happier Than Them, but More of Them Are Happy:Aggregating Subjective Well-Being," Working Papers 2019008, The University of Sheffield, Department of Economics.
    2. Chiara Grazini, 2023. "La poverta' energetica come privazione delle capacita' (Energy poverty as capabilities deprivation)," Moneta e Credito, Economia civile, vol. 76(301), pages 3-25.
    3. Sechel, Cristina, 2021. "The share of satisfied individuals: A headcount measure of aggregate subjective well-being," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 373-394.
    4. 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.
    5. Leonardo Salvatore Alaimo & Alberto Arcagni & Marco Fattore & Filomena Maggino, 2021. "Synthesis of Multi-indicator System Over Time: A Poset-based Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 77-99, August.
    6. Alaimo, Leonardo Salvatore & Ivaldi, Enrico & Landi, Stefano & Maggino, Filomena, 2022. "Measuring and evaluating socio-economic inequality in small areas: An application to the urban units of the Municipality of Genoa," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    7. Grazini, Chiara, 2024. "Energy poverty as capacity deprivation: A study of social housing using the partially ordered set," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    8. Sara Casacci & Adriano Pareto, 2018. "Subjective Indicators Construction by Distance Indices: An Application to Life Satisfaction Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(3), pages 831-846, June.
    9. Paola Conigliaro, 2022. "Subjective Well-Being in Italian Regions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 751-781, June.
    10. Giuseppina Guagnano & Maria Rita Sebastiani, 2018. "Away from Dissatisfaction, Closer to Well-Being: A Multidimensional Synthetic Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 977-997, April.
    11. Alaimo, Leonardo Salvatore & Fiore, Mariantonietta & Galati, Antonino, 2022. "Measuring consumers’ level of satisfaction for online food shopping during COVID-19 in Italy using POSETs," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    12. Ilyes Boumahdi & Nouzha Zaoujal, 2023. "Regional Well-Being Disparities in Morocco and its OECD Partners," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 183-211, June.

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