[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/vrs/stintr/v16y2015i3p409-428n3.html
   My bibliography  Save this article

Exploiting Ordinal Data for Subjective Well-Being Evaluation

Author

Listed:
  • Fattore Marco

    (Department of Statistics and Quantitative Methods, University of Milan – Bicocca, Bicocca, ; Italy)

  • Maggino Filomena

    (Department of Statistics, Informatics, Applications “G. Parenti” (DiSIA), Bicocca, ; University of Florence, Italy)

  • Arcagni Alberto

    (Department of Statistics and Quantitative Methods, University of Milan – Bicocca, Bicocca, ; Italy)

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

  • Fattore Marco & Maggino Filomena & Arcagni Alberto, 2015. "Exploiting Ordinal Data for Subjective Well-Being Evaluation," Statistics in Transition New Series, Statistics Poland, vol. 16(3), pages 409-428, September.
    • Handle: RePEc:vrs:stintr:v:16:y:2015:i:3:p:409-428:n:3
    DOI: 10.21307/stattrans-2015-023
    as

    Download full text from publisher

    File URL: https://doi.org/10.21307/stattrans-2015-023
    Download Restriction: no
    File URL: https://libkey.io/10.21307/stattrans-2015-023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

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

    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 & 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Marco Fattore & Filomena Maggino, 2018. "Some Considerations on Well-Being Evaluation Procedures, Taking the Cue from “Exploring Multidimensional Well-Being in Switzerland: Comparing Three Synthesizing Approaches”," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 83-91, May.
    7. 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).
    8. Christoffer Sonne-Schmidt & Finn Tarp & Lars Peter Østerdal, 2013. "Ordinal Multidimensional Inequality," WIDER Working Paper Series wp-2013-097, World Institute for Development Economic Research (UNU-WIDER).
    9. 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.
    10. Sonne-Schmidt, Christoffer & Tarp, Finn & Østerdal, Lars Peter, 2013. "Ordinal Multidimensional Inequality," WIDER Working Paper Series 097, World Institute for Development Economic Research (UNU-WIDER).
    11. Christoffer Sonne-Schmidt & Finn Tarp & Lars Peter Østerdal, 2016. "Ordinal Bivariate Inequality: Concepts and Application to Child Deprivation in Mozambique," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(3), pages 559-573, September.
    12. Rao, Nitya, 2017. "Assets, Agency and Legitimacy: Towards a Relational Understanding of Gender Equality Policy and Practice," World Development, Elsevier, vol. 95(C), pages 43-54.
    13. Kinghorn, Philip, 2019. "Using deliberative methods to establish a sufficient state of capability well-being for use in decision-making in the contexts of public health and social care," Social Science & Medicine, Elsevier, vol. 240(C).
    14. Xuming He & Heng Xi & Xianbo Li, 2024. "Multi-Dimensional Decomposition, Measurement, and Governance Mechanism of Relative Poverty in Chinese Households under the Goal of Common Prosperity: Empirical Analysis Based on CFPS2020 Data," Sustainability, MDPI, vol. 16(12), pages 1-24, June.
    15. Francesco Devicienti & Valentina Gualtieri & Mariacristina Rossi, 2014. "The Persistence Of Income Poverty And Lifestyle Deprivation: Evidence From Italy," Bulletin of Economic Research, Wiley Blackwell, vol. 66(3), pages 246-278, July.
    16. Masood Sarwar Awan & Muhammad Amir Aslam, 2011. "Multidimensional Poverty in Pakistan: Case of Punjab Province," Journal of Economics and Behavioral Studies, AMH International, vol. 3(2), pages 133-144.
    17. Winters, P. & Kafle, K. & Benfica, R., 2018. "IFAD RESEARCH SERIES 21 - Does relative deprivation induce migration? Evidence from sub-Saharan Africa," IFAD Research Series 280070, International Fund for Agricultural Development (IFAD).
    18. Espinoza-Delgado, José & Silber, Jacques, 2018. "Multi-dimensional poverty among adults in Central America and gender differences in the three I’s of poverty: Applying inequality sensitive poverty measures with ordinal variables," MPRA Paper 88750, University Library of Munich, Germany.
    19. Melissa SIEGEL & Jennifer WAIDLER, 2012. "Migration and multi-dimensional poverty in Moldovan communities," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 3, pages 105-119, December.
    20. Shinice Jackson & Derek Yu, 2023. "Re-examining the Multidimensional Poverty Index of South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(1), pages 1-25, February.

    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:vrs:stintr:v:16:y:2015:i:3:p:409-428:n:3. 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: Peter Golla (email available below). General contact details of provider: https://stat.gov.pl/en/ .

    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.