IDEAS home Printed from https://ideas.repec.org/a/csb/stintr/v16y2015i3p409-428.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://index.stat.gov.pl/repec/files/csb/stintr/csb_stintr_v16_2015_i3_n5.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    3. 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, September.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. Anna Scaccabarozzi & Matteo Mazziotta & Annamaria Bianchi, 2024. "Measuring Competitiveness: A Composite Indicator for Italian Municipalities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(1), pages 53-82, May.
    10. 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.
    11. 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.
    12. 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).
    13. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marco Fattore, 2016. "Partially Ordered Sets and the Measurement of Multidimensional Ordinal Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 835-858, September.
    2. Marco Fattore & Filomena Maggino & Alberto Arcagni, 2015. "Exploiting Ordinal Data For Subjective Well-Being Evaluation," Statistics in Transition New Series, Polish Statistical Association, vol. 16(3), pages 409-428, September.
    3. Buhong Zheng, 2015. "Poverty: fuzzy measurement and crisp ordering," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 45(1), pages 203-229, June.
    4. Sen, Sugata, 2019. "Decomposition of intra-household disparity sensitive fuzzy multi-dimensional poverty index: A study of vulnerability through Machine Learning," MPRA Paper 93550, University Library of Munich, Germany.
    5. Tavares, Fernando Flores & Betti, Gianni, 2021. "The pandemic of poverty, vulnerability, and COVID-19: Evidence from a fuzzy multidimensional analysis of deprivations in Brazil," World Development, Elsevier, vol. 139(C).
    6. Maki Michinaka & Takahiro Ito, 2010. "Multidimensional Poverty Rankings based on Pareto Principle: A Practical Extension," Global COE Hi-Stat Discussion Paper Series gd10-139, Institute of Economic Research, Hitotsubashi University.
    7. Espinoza-Delgado, José & López-Laborda, Julio, 2017. "Nicaragua: evolución de la pobreza multidimensional, 2001-2009," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    8. Barbara Baldazzi & Manuela Bartoloni & Monica Carbonara & Assunta L. Carulli & Paola Conigliaro & Roberto Costa & Lorenzo Di Biagio & Annalisa Pallotti & Miria Savioli & Stefania Taralli & Alessandra , 2019. "Methods and models to evaluate territorial inequalities in well-being. Work in progress of a thematic research project," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 73(2), pages 39-50, April-Jun.
    9. Ayala, Luis & Bárcena-Martín, Elena & Cantó, Olga & Navarro, Carolina, 2022. "COVID-19 lockdown and housing deprivation across European countries," Social Science & Medicine, Elsevier, vol. 298(C).
    10. David Madden, 2015. "Health and Wealth on the Roller-Coaster: Ireland, 2003–2011," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 121(2), pages 387-412, April.
    11. Oznur Ozdamar & Eleftherios Giovanis, 2019. "Youth Multidimensional Poverty and Its Dynamics: Evidence From Selected Countries In The Mena Region," Working Papers 1339, Economic Research Forum, revised 21 Aug 2019.
    12. Valérie Berenger & Cuauhtémoc Calderón Villarreal & Franck Celestini, 2009. "Modelling the Distribution of Multidimensional Poverty Scores: Evidence from Mexico," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 24(1), pages 3-34.
    13. Vijay Verma & Gianni Betti & Francesca Gagliardi, 2017. "Fuzzy Measures of Longitudinal Poverty in a Comparative Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(2), pages 435-454, January.
    14. Espinoza-Delgado, José & Klasen, Stephan, 2018. "Gender and multidimensional poverty in Nicaragua: An individual based approach," World Development, Elsevier, vol. 110(C), pages 466-491.
    15. Burhan Can Karahasan & Fırat Bilgel, 2021. "The Topography and Sources of Multidimensional Poverty in Turkey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 413-445, April.
    16. Carlo Drago, 2021. "The Analysis and the Measurement of Poverty: An Interval-Based Composite Indicator Approach," Economies, MDPI, vol. 9(4), pages 1-17, October.
    17. Fattore, Marco & Alaimo, Leonardo Salvatore, 2023. "A partial order toolbox for building synthetic indicators of sustainability with ordinal data," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    18. Dipesh Gangopadhyay & Robert B. Nielsen & Velma Zahirovic-Herbert, 2021. "Methodology and Axiomatic Characterization of a Multidimensional and Fuzzy Measure of Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 1-37, January.
    19. Mateusz Piwowarski & Danuta Miłaszewicz & Małgorzata Łatuszyńska & Mariusz Borawski & Kesra Nermend, 2018. "Application of the Vector Measure Construction Method and Technique for Order Preference by Similarity Ideal Solution for the Analysis of the Dynamics of Changes in the Poverty Levels in the European ," Sustainability, MDPI, vol. 10(8), pages 1-24, August.
    20. Olu Ajakaiye & Afeikhena T. Jerome & Olanrewaju Olaniyan & Kristi Mahrt & Olufunke A. Alaba, 2014. "Multidimensional Poverty in Nigeria: First Order Dominance Approach," WIDER Working Paper Series wp-2014-143, World Institute for Development Economic Research (UNU-WIDER).

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:csb:stintr:v:16:y:2015:i:3:p:409-428. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Beata Witek The email address of this maintainer does not seem to be valid anymore. Please ask Beata Witek to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/gusgvpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.