IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/111041.html
   My bibliography  Save this paper

Faces of inequality: a mixed methods approach to multidimensional inequalities

Author

Listed:
  • Bleynat, Ingrid
  • Segal, Paul

Abstract

This paper presents a new mixed methods approach to measuring and understanding multidimensional inequalities, and applies it to new data for Mexico City. We incorporate quantitative and qualitative dimensions of inequality, integrating the concerns of both economists and sociologists. The method combines standard quantitative income gradients with two new ways of conceptualizing qualitative inequalities that relate to lived experiences, all based on the same underlying income distribution. First, we introduce the method of qualitative income gradients, or what we call inequalities of lived experience. These compare qualitative experiences in fields such as work, or health and education services, across the entire income distribution. Second, we describe lived experiences of inequality, which are experiences of social hierarchy, stigma, or domination, including those associated with categorical inequalities of gender or race. This portrayal of inequality combines the representativeness of quantitative approaches with the depth and nuance of qualitative analyses of lived experience and social relations.

Suggested Citation

  • Bleynat, Ingrid & Segal, Paul, 2021. "Faces of inequality: a mixed methods approach to multidimensional inequalities," LSE Research Online Documents on Economics 111041, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:111041
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/111041/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bosch, Mariano & Goni, Edwin & Maloney, William, 2007. "The determinants of rising informality in Brazil : Evidence from gross worker flows," Policy Research Working Paper Series 4375, The World Bank.
    2. Bosch, Mariano & Maloney, William, 2006. "Gross worker flows in the presence of informal labor markets. The Mexican experience 1987-2002," LSE Research Online Documents on Economics 19798, London School of Economics and Political Science, LSE Library.
    3. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    4. 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.
    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. Adriana Kugler & Maurice Kugler, 2009. "Labor Market Effects of Payroll Taxes in Developing Countries: Evidence from Colombia," Economic Development and Cultural Change, University of Chicago Press, vol. 57(2), pages 335-358, January.
    2. Adriana D. Kugler & Maurice D. Kugler & Luis O. Herrera-Prada, 2017. "Do Payroll Tax Breaks Stimulate Formality? Evidence from Colombia’s Reform," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Fall 2017), pages 3-40, November.
    3. Florent Bresson & Jean-Yves Duclos & Flaviana Palmisano, 2019. "Intertemporal pro-poorness," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 52(1), pages 65-96, January.
    4. Francisco Lasso-Valderrama, 2020. "LA DINÁMICA DEL MERCADO LABORAL COLOMBIANO: Cuál es el rol de los flujos de trabajadores?," Borradores de Economia 1120, Banco de la Republica de Colombia.
    5. Migbaru Alamirew Workneh & Zerayehu Sime Eshete, 2021. "Household Level Non-Monetary Poverty in Ethiopia and its Driving Factors: a Multidimensional Approach with Panel Estimation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(1), pages 145-168, February.
    6. Kontbay-Busun, Sine & Peichl, Andreas, 2014. "Multidimensional affluence in income and wealth in the eurozone: A cross country comparison using the HFCS," ZEW Discussion Papers 14-124, ZEW - Leibniz Centre for European Economic Research.
    7. Davillas, Apostolos & M. Jones, Andrew & Sinha, Kompal & Sharma, Anurag, 2018. "Distributional analysis of the role of breadth and persistence of multiple deprivation in the health gradient measured by biomarkers," ISER Working Paper Series 2018-14, Institute for Social and Economic Research.
    8. Hugo López Castaño & Francisco Lasso Valderrama, 2015. "Flujos de trabajadores en el mercado laboral colombiano, determinantes de las diferencias entre hombres y mujeres, y futuro laboral esperado," IDB Publications (Working Papers) 88817, Inter-American Development Bank.
    9. Rolf Aaberge & Andrea Brandolini, 2014. "Multidimensional poverty and inequality," Temi di discussione (Economic working papers) 976, Bank of Italy, Economic Research and International Relations Area.
    10. Andreas Peichl & Nico Pestel, 2013. "Multidimensional Well‐Being at the Top: Evidence for Germany," Fiscal Studies, Institute for Fiscal Studies, vol. 34, pages 355-371, September.
    11. Almeida, Rita & Carneiro, Pedro, 2008. "Mandated benefits, employment, and inequality in a dual economy," Social Protection Discussion Papers and Notes 45051, The World Bank.
    12. Silvia Terzi & Luca Moroni, 2022. "Local Concordance and Some Applications," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 457-470, June.
    13. Fiess, Norbert M. & Fugazza, Marco & Maloney, William F., 2008. "Informality and Macroeconomic Fluctuations," IZA Discussion Papers 3519, Institute of Labor Economics (IZA).
    14. Deniz Sevinc, 2020. "How Poor is Poor? A novel look at multidimensional poverty in the UK," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 833-859, June.
    15. Andreas Peichl & Nico Pestel, 2013. "Multidimensional affluence: theory and applications to Germany and the US," Applied Economics, Taylor & Francis Journals, vol. 45(32), pages 4591-4601, November.
    16. Nicoletta Batini & Young-Bae Kim & Paul Levine & Emanuela Lotti, 2009. "Informal Labour and Credit Markets: A Survey," School of Economics Discussion Papers 0609, School of Economics, University of Surrey.
    17. Satya R. Chakravarty & Nachiketa Chattopadhyay & Conchita D’Ambrosio, 2022. "An Axiomatic Approach to the Measurement of Comparative Female Disadvantage," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(2), pages 747-772, November.
    18. Leonardo Fabio Morales & Didier Hermida & Eleonora Dávalos, 2019. "Interactions between Formal and Informal Labor Dynamics: Revealing Job Flows from Household Surveys," Borradores de Economia 1090, Banco de la Republica de Colombia.
    19. Bosch, Mariano & Maloney, William F., 2008. "Cyclical Movements in Unemployment and Informality in Developing Countries," IZA Discussion Papers 3514, Institute of Labor Economics (IZA).
    20. Mauricio Gallardo, 2020. "Measuring Vulnerability to Multidimensional Poverty," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 67-103, February.

    More about this item

    Keywords

    Mexico;

    JEL classification:

    • N0 - Economic History - - General

    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:ehl:lserod:111041. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.