IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-13-00494.html
   My bibliography  Save this article

Interpreting the concept of representational inequality to reckon between-group inequality for different types of data

Author

Listed:
  • Anjan Ray chaudhury

    (INSTITUE OF DEVELOPMENT STUDIES KOLKATA)

Abstract

Inter-group disparity is usually reckoned by using some conventional summary measures, which take into account the distributional characteristics of the underlying cardinally measurable attributes across groups. However, for categorical data these conventional summary measures cannot be applied in a meaningful way to assess between-group inequality. This note reintroduces the concept of ‘representational inequality' (RI) presented by Reddy and Jayadev (2011a and 2011b) and develops some measures of such inequality, which are shown to produce meaningful results if applied to either cardinal or ordinal data. The empirical illustration of the developed measures of between-group inequality based on the concept of RI is then provided using some data set from India.

Suggested Citation

  • Anjan Ray chaudhury, 2013. "Interpreting the concept of representational inequality to reckon between-group inequality for different types of data," Economics Bulletin, AccessEcon, vol. 33(4), pages 2890-2904.
  • Handle: RePEc:ebl:ecbull:eb-13-00494
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2013/Volume33/EB-13-V33-I4-P270.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abul Naga, Ramses H. & Yalcin, Tarik, 2008. "Inequality measurement for ordered response health data," Journal of Health Economics, Elsevier, vol. 27(6), pages 1614-1625, December.
    2. Sreenivasan Subramanian, 2011. "Inter-group Disparities in the Distributional Analysis of Human Development: Concepts, Measurement, and Illustrative Applications," The Review of Black Political Economy, Springer;National Economic Association, vol. 38(1), pages 27-52, March.
    3. D. Jayaraj & S. Subramanian, 2006. "Horizontal and Vertical Inequality: Some Interconnections and Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 75(1), pages 123-139, January.
    4. Chris Elbers & Peter Lanjouw & Johan Mistiaen & Berk Özler, 2008. "Reinterpreting between-group inequality," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(3), pages 231-245, September.
    5. Jayadev, Arjun & Reddy, Sanjay G., 2011. "Inequalities between Groups: Theory and Empirics," World Development, Elsevier, vol. 39(2), pages 159-173, February.
    6. S Subramanian, 2009. "Reckoning Inter‐Group Poverty Differentials In The Measurement Of Aggregate Poverty," Pacific Economic Review, Wiley Blackwell, vol. 14(1), pages 46-55, February.
    7. Allison, R. Andrew & Foster, James E., 2004. "Measuring health inequality using qualitative data," Journal of Health Economics, Elsevier, vol. 23(3), pages 505-524, May.
    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. Anjan R. Chaudhury & Madhabendra Sinha, 2022. "Persistence of intergroup occupational disparity in India," Poverty & Public Policy, John Wiley & Sons, vol. 14(4), pages 437-467, December.
    2. Anjan Ray Chaudhury & Dipankar Das & Sreemanta Sarkar, 2023. "Complementarity in Demand-side Variables and Educational Participation," Papers 2303.04647, arXiv.org, revised Apr 2023.
    3. Anjan Ray Chaudhury & Madhabendra Sinha, 2022. "Capturing Regional Disparity in Educational Transition in India: A Sequential Logit Based Transitional Probability Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(2), pages 893-928, November.
    4. Anjan Ray Chaudhury, 2017. "Interpreting the Disparity in Educational Attainment among Various Socio-religious Groups in India," IIM Kozhikode Society & Management Review, , vol. 6(1), pages 73-89, January.
    5. Ray Chaudhury, Anjan & Sinha, Madhabendra, 2019. "Multi-group segregation for nominal and ordinal categorical data: An application to socio-religious groups in India," Journal of Policy Modeling, Elsevier, vol. 41(6), pages 1095-1108.

    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. Tugce, Cuhadaroglu, 2013. "My Group Beats Your Group: Evaluating Non-Income Inequalities," SIRE Discussion Papers 2013-49, Scottish Institute for Research in Economics (SIRE).
    2. Tugce Cuhadaroglu, 2023. "Evaluating ordinal inequalities between groups," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(1), pages 219-231, March.
    3. Tugce Cuhadaroglu, 2013. "My Group Beats Your Group: Evaluating Non-Income Inequalities," Discussion Paper Series, School of Economics and Finance 201308, School of Economics and Finance, University of St Andrews.
    4. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.
    5. Sandra Rodríguez, 2018. "[Resena] Lo que sabemos y lo que aún falta saber sobre la salud en Colombia," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 12(2), pages 205-213, December.
    6. Bénédicte Apouey & Jacques Silber, 2013. "Inequality and Bi-Polarization in Socioeconomic Status and Health: Ordinal Approaches," Research on Economic Inequality, in: Health and Inequality, volume 21, pages 77-109, Emerald Group Publishing Limited.
    7. Iñaki Permanyer & Diederik Boertien, 2019. "A century of change in global education variability and gender differences in education," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-22, February.
    8. Stephen P. Jenkins, 2021. "Inequality Comparisons with Ordinal Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(3), pages 547-563, September.
    9. David Gunawan & William Griffths & Duangkamon Chotikapanich, 2017. "Bayesian Inference for Health Inequality and Welfare Using Qualitative Data "Abstract: We show how to use Bayesian inference to compare two ordinal categorical distributions commonly occurring wi," Department of Economics - Working Papers Series 2031, The University of Melbourne.
    10. Dhongde, Shatakshee, 2017. "Measuring Segregation of the Poor: Evidence from India," World Development, Elsevier, vol. 89(C), pages 111-123.
    11. Di Novi, C. & Piacenza, M. & Robone, S. & Turati, G., 2015. "How does fiscal decentralization affect within-regional disparities in well-being? Evidence from health inequalities in Italy," Health, Econometrics and Data Group (HEDG) Working Papers 15/23, HEDG, c/o Department of Economics, University of York.
    12. Erreygers, Guido & Van Ourti, Tom, 2011. "Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: A recipe for good practice," Journal of Health Economics, Elsevier, vol. 30(4), pages 685-694, July.
    13. Jens Leth Hougaard & Juan D. Moreno-Ternero & Lars Peter Østerdal, 2013. "On the Measurement of the (Multidimensional) Inequality of Health Distributions," Research on Economic Inequality, in: Health and Inequality, volume 21, pages 111-129, Emerald Group Publishing Limited.
    14. Bénédicte Apouey & David Madden, 2023. "Health poverty," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 19, pages 202-211, Edward Elgar Publishing.
    15. Michal Brzezinski, 2015. "Accounting for trends in health poverty: a decomposition analysis for Britain, 1991–2008," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 153-159, March.
    16. Mohamad Khaled & Paul Makdissi & Prasada Rao & Myra Yazbeck, 2023. "A Unidimensional Representation of Multidimensional Inequality: An Econometric Analysis of Inequalities in the Arab Region," Working Papers 2304E Classification- D63, University of Ottawa, Department of Economics.
    17. Maria Livia ŞTEFĂNESCU, 2015. "Analyzing the health status of the population using ordinal data," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 3(1), pages 18-24, June.
    18. Nicolas Gravel & Brice Magdalou & Patrick Moyes, 2021. "Ranking distributions of an ordinal variable," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 71(1), pages 33-80, February.
    19. Paolo Li Donni & Vito Peragine & Giuseppe Pignataro, 2014. "Ex‐Ante And Ex‐Post Measurement Of Equality Of Opportunity In Health: A Normative Decomposition," Health Economics, John Wiley & Sons, Ltd., vol. 23(2), pages 182-198, February.
    20. Suman Seth and Gaston Yalonetzky, 2018. "Assessing Deprivation with Ordinal Variables: Depth Sensitivity and Poverty Aversion," OPHI Working Papers ophiwp123.pdf, Queen Elizabeth House, University of Oxford.

    More about this item

    Keywords

    horizontal inequality; representational inequality; scheduled castes; scheduled tribes;
    All these keywords.

    JEL classification:

    • D3 - Microeconomics - - Distribution
    • I2 - Health, Education, and Welfare - - Education

    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:ebl:ecbull:eb-13-00494. 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: John P. Conley (email available below). General contact details of provider: .

    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.