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

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Jayadev, Arjun & Reddy, Sanjay G., 2011. "Inequalities between Groups: Theory and Empirics," World Development, Elsevier, vol. 39(2), pages 159-173, February.
    6. 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.
    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.
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    Citations

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    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, 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.
    4. 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.
    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.

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    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

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