IDEAS home Printed from https://ideas.repec.org/p/ete/ceswps/543793.html
   My bibliography  Save this paper

Well-being inequality and preference heterogeneity

Author

Listed:
  • Koen Decancq
  • Marc Flerubaey
  • Erik Schokkaert

Abstract

Standard measures of multidimensional inequality (implicitly) assume common preferences for all individuals and, hence, are not sensitive to preference heterogeneity among the members of society. In this paper, we measure the inequality of the distribution of equivalent incomes, which is a preference-sensitive multidimensional well-being measure. To quantify the contribution of preference heterogeneity to well-being inequality, we use a decomposition method that calculates well-being inequality in different counterfactual distributions. We focus on four sources of well-being inequality: the correlation between outcomes and preferences, the preference heterogeneity, the correlation between the outcome dimensions, and the inequality within each of the outcome dimensions. We find that preference heterogeneity accounts for a considerable part of overall well-being inequality in Russia for the period of 1995 to 2005.

Suggested Citation

  • Koen Decancq & Marc Flerubaey & Erik Schokkaert, 2016. "Well-being inequality and preference heterogeneity," Working Papers of Department of Economics, Leuven 543793, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
  • Handle: RePEc:ete:ceswps:543793
    as

    Download full text from publisher

    File URL: https://lirias.kuleuven.be/retrieve/392205
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Fleurbaey,Marc & Maniquet,François, 2011. "A Theory of Fairness and Social Welfare," Cambridge Books, Cambridge University Press, number 9780521715348.
    2. Andrew M. Jones & Stefanie Schurer, 2011. "How does heterogeneity shape the socioeconomic gradient in health satisfaction?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(4), pages 549-579, June.
    3. Thibault Gajdos & John Weymark, 2005. "Multidimensional generalized Gini indices," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 26(3), pages 471-496, October.
    4. Marc Fleurbaey & Erik Schokkaert, 2013. "Behavioral Welfare Economics and Redistribution," American Economic Journal: Microeconomics, American Economic Association, vol. 5(3), pages 180-205, August.
    5. Koen Decancq, 2014. "Copula-based measurement of dependence between dimensions of well-being," Oxford Economic Papers, Oxford University Press, vol. 66(3), pages 681-701.
    6. Koen Decancq & Marc Fleurbaey & Erik Schokkaert, 2015. "Happiness, Equivalent Incomes and Respect for Individual Preferences," Economica, London School of Economics and Political Science, vol. 82, pages 1082-1106, December.
    7. Marc Fleurbaey & Alain Trannoy, 2003. "The impossibility of a Paretian egalitarian," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 21(2), pages 243-263, October.
    8. Ada Ferrer-i-Carbonell & Paul Frijters, 2004. "How Important is Methodology for the estimates of the determinants of Happiness?," Economic Journal, Royal Economic Society, vol. 114(497), pages 641-659, July.
    9. Beegle, Kathleen & Himelein, Kristen & Ravallion, Martin, 2012. "Frame-of-reference bias in subjective welfare," Journal of Economic Behavior & Organization, Elsevier, vol. 81(2), pages 556-570.
    10. Bosmans, Kristof & Decancq, Koen & Ooghe, Erwin, 2015. "What do normative indices of multidimensional inequality really measure?," Journal of Public Economics, Elsevier, vol. 130(C), pages 94-104.
    11. Paul Frijters & Ingo Geishecker & John P. Haisken‐DeNew & Michael A. Shields, 2006. "Can the Large Swings in Russian Life Satisfaction be Explained by Ups and Downs in Real Incomes?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 108(3), pages 433-458, October.
    12. A. B. Atkinson & F. Bourguignon, 1982. "The Comparison of Multi-Dimensioned Distributions of Economic Status," Review of Economic Studies, Oxford University Press, vol. 49(2), pages 183-201.
    13. Layard, R. & Mayraz, G. & Nickell, S., 2008. "The marginal utility of income," Journal of Public Economics, Elsevier, vol. 92(8-9), pages 1846-1857, August.
    14. Fleurbaey, Marc & Blanchet, Didier, 2013. "Beyond GDP: Measuring Welfare and Assessing Sustainability," OUP Catalogue, Oxford University Press, number 9780199767199, Decembrie.
    15. Maasoumi, Esfandiar, 1986. "The Measurement and Decomposition of Multi-dimensional Inequality," Econometrica, Econometric Society, vol. 54(4), pages 991-997, July.
    16. Serge-Christophe Kolm, 1977. "Multidimensional Egalitarianisms," The Quarterly Journal of Economics, Oxford University Press, vol. 91(1), pages 1-13.
    17. Paul Frijters & John P. Haisken-DeNew & Michael A. Shields, 2004. "Investigating the Patterns and Determinants of Life Satisfaction in Germany Following Reunification," Journal of Human Resources, University of Wisconsin Press, vol. 39(3).
    18. Koen Decancq & María Ana Lugo, 2012. "Inequality of Wellbeing: A Multidimensional Approach," Economica, London School of Economics and Political Science, vol. 79(316), pages 721-746, October.
    19. Cowell, Frank A & Jenkins, Stephen P, 1995. "How Much Inequality Can We Explain? A Methodology and an Application to the United States," Economic Journal, Royal Economic Society, vol. 105(429), pages 421-430, March.
    20. Maasoumi, Esfandiar & Jeong, Jin Ho, 1985. "The trend and the measurement of world inequality over extended periods of accounting," Economics Letters, Elsevier, vol. 19(3), pages 295-301.
    21. Martin Ravallion & Kristen Himelein & Kathleen Beegle, 2016. "Can Subjective Questions on Economic Welfare Be Trusted?," Economic Development and Cultural Change, University of Chicago Press, vol. 64(4), pages 697-726.
    22. Indranil Dutta & Prasanta K. Pattanaik & Yongsheng Xu, 2003. "On Measuring Deprivation and the Standard of Living in a Multidimensional Framework on the Basis of Aggregate Data," Economica, London School of Economics and Political Science, vol. 70(278), pages 197-221, May.
    23. Casilda Lasso de la Vega & Ana Urrutia & Amaia Sarachu, 2010. "Characterizing multidimensional inequality measures which fulfil the Pigou–Dalton bundle principle," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 35(2), pages 319-329, July.
    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. Marko Ledić & Ivica Rubil, 2021. "Beyond Wage Gap, Towards Job Quality Gap: The Role of Inter-Group Differences in Wages, Non-Wage Job Dimensions, and Preferences," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(2), pages 523-561, June.
    2. Philipp Poppitz, 2019. "Can Subjective Data Improve the Measurement of Inequality? A Multidimensional Index of Economic Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(3), pages 511-531, December.
    3. Koen Decancq & Marc Fleurbaey & François Maniquet, 2019. "Multidimensional poverty measurement with individual preferences," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(1), pages 29-49, March.
    4. Barbosa, Estela Capelas & Cookson, Richard, 2019. "Multiple inequity in health care: An example from Brazil," Social Science & Medicine, Elsevier, vol. 228(C), pages 1-8.
    5. Domenico Moramarco & Bram De Rock, 2022. "Nonparametric analysis of heterogeneous multidimensional fairness," Working Papers 621, ECINEQ, Society for the Study of Economic Inequality.
    6. H. Xavier Jara & Erik Schokkaert, 2017. "Putting measures of individual well-being to use for ex-ante policy evaluation," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(4), pages 421-440, December.
    7. Domenico Moramarco & François Maniquet, 2022. "On the measurement of well-being with reference consumption," Working Papers 629, ECINEQ, Society for the Study of Economic Inequality.
    8. Philipp Poppitz, 2019. "Multidimensional Inequality and Divergence: The Eurozone Crisis in Retrospect," Working Papers V-420-19, University of Oldenburg, Department of Economics, revised Feb 2019.
    9. Iwasaki, Masaki, 2022. "Social Preferences and Well-Being: Theory and Evidence," MPRA Paper 112198, University Library of Munich, Germany.
    10. Marc Fleurbaey & Gregory Ponthiere, 2023. "Measuring well-being and lives worth living," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 75(4), pages 1247-1266, May.
    11. Marko Ledic & Ivica Rubil, 2020. "Does going beyond income make a difference? Income vs. equivalent income in the EU over 2007-2011," Public Sector Economics, Institute of Public Finance, vol. 44(4), pages 423-462.
    12. Masaki Iwasaki, 2023. "Social preferences and well-being: theory and evidence," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    13. Philipp Poppitz, 2017. "Can subjective data improve inequality measurement? A multidimensional index of economic inequality," Working Papers 446, ECINEQ, Society for the Study of Economic Inequality.
    14. Harun Onder & Pierre Pestieau & Grégory Ponthière, 2019. "Equivalent income versus equivalent lifetime: does the metric matter?," Working Papers halshs-02187803, HAL.
    15. François Maniquet & Domenico Moramarco, 2022. "On the Measurement of Well-Being with Reference Consumption," Working Papers ECARES 2022-41, ULB -- Universite Libre de Bruxelles.

    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. Koen Decancq & Marc Fleurbaey & François Maniquet, 2019. "Multidimensional poverty measurement with individual preferences," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(1), pages 29-49, March.
    2. DECANCQ, Koen & FLEURBAEY, Marc & SCHOKKAERT, Erik, 2014. "Inequality, income, and well-being," LIDAM Discussion Papers CORE 2014018, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Suman Seth and Maria Emma Santos, 2018. "Multidimensional Inequality and Human Development," OPHI Working Papers ophiwp114_2.pdf, Queen Elizabeth House, University of Oxford.
    4. Koen Decancq & Marc Fleurbaey & Erik Schokkaert, 2015. "Happiness, Equivalent Incomes and Respect for Individual Preferences," Economica, London School of Economics and Political Science, vol. 82, pages 1082-1106, December.
    5. Koen Decancq, 2017. "Measuring Multidimensional Inequality in the OECD Member Countries with a Distribution-Sensitive Better Life Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(3), pages 1057-1086, April.
    6. Maria Ana Lugo & Koen Decancq, 2009. "Measuring Inequality of Well-Being with a Correlation-Sensitive Multidimensional Gini Index," Economics Series Working Papers 459, University of Oxford, Department of Economics.
    7. DECANCQ Koen & OLIVERA Javier & SCHOKKAERT Erik, 2018. "Program evaluation and ethnic differences: the Pension 65 program in Peru," LISER Working Paper Series 2018-21, Luxembourg Institute of Socio-Economic Research (LISER).
    8. FLEURBAEY, Marc & SCHOKKAERT, Erik, 2011. "Equity in health and health care," LIDAM Discussion Papers CORE 2011026, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Hikaru Hasegawa & Kazuhiro Ueda, 2016. "Multidimensional inequality for current status of Japanese private companies’ employees," METRON, Springer;Sapienza Università di Roma, vol. 74(3), pages 357-373, December.
    10. Decancq, Koen & Nys, Annemie, 2021. "Non-parametric well-being comparisons," European Economic Review, Elsevier, vol. 133(C).
    11. Nicholas Rohde & Ross Guest, 2018. "Multidimensional Inequality Across Three Developed Countries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(3), pages 576-591, September.
    12. Lin Yang, 2017. "Measuring individual well-being: A multidimensional index integrating subjective well-being and preferences," CASE Papers /202, Centre for Analysis of Social Exclusion, LSE.
    13. Yang, Lin, 2017. "Measuring individual well-being: A multidimensional index integrating subjective well-being and preferences," LSE Research Online Documents on Economics 103495, London School of Economics and Political Science, LSE Library.
    14. Koen Decancq, 2020. "Measuring cumulative deprivation and affluence based on the diagonal dependence diagram," METRON, Springer;Sapienza Università di Roma, vol. 78(2), pages 103-117, August.
    15. Koen Decancq & Erik Schokkaert, 2016. "Beyond GDP: Using Equivalent Incomes to Measure Well-Being in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 126(1), pages 21-55, March.
    16. Bosmans, Kristof & Decancq, Koen & Ooghe, Erwin, 2015. "What do normative indices of multidimensional inequality really measure?," Journal of Public Economics, Elsevier, vol. 130(C), pages 94-104.
    17. Yang, Lin, 2018. "Measuring well-being: a multidimensional index integrating subjective well-being and preferences," LSE Research Online Documents on Economics 87789, London School of Economics and Political Science, LSE Library.
    18. Casilda Lasso de la Vega & Ana Urrutia & Amaia Sarachu, 2010. "Characterizing multidimensional inequality measures which fulfil the Pigou–Dalton bundle principle," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 35(2), pages 319-329, July.
    19. Romina Boarini & Marc Fleurbaey & Fabrice Murtin & Paul Schreyer, 2022. "Well‐being during the Great Recession: new evidence from a measure of multi‐dimensional living standards with heterogeneous preferences," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(1), pages 104-138, January.
    20. Asis Kumar Banerjee, 2018. "Multidimensional Indices with Data-driven Dimensional Weights: A Multidimensional Coefficient of Variation," Arthaniti: Journal of Economic Theory and Practice, , vol. 17(2), pages 140-156, December.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ete:ceswps:543793. 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: library EBIB (email available below). General contact details of provider: https://feb.kuleuven.be/Economics/ .

    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.