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Horizontal Inequality and Data Challenges

Author

Listed:
  • Carla Canelas

    (American University of Paris
    Centre d’Economie de la Sorbonne)

  • Rachel M. Gisselquist

    (United Nations University, World Institute for Development Economics Research (UNU-WIDER))

Abstract

Inequality and social exclusion receive considerable contemporary policy attention. In the field of international development, inequality—both vertical (between individuals and households) and horizontal (between groups)—is a core concern in the 2030 Agenda for Sustainable Development. Despite considerable attention to horizontal inequality in both research and policy, there are notable gaps and weaknesses in our empirical knowledge about how it manifests within and across countries and over time. This has implications not only for the rigour with which we can build and test theories in this area, but also for informing policy, monitoring trends, and evaluating the impact of interventions. This article probes what more can be learned from existing survey and census data to address empirical gaps. It argues that key methodological, conceptual, and—in particular—political issues pose persistent challenges for such survey and census data on topics relating to ‘ethnicity’ broadly defined. These challenges imply not only real limits in the so-called data revolution for sustainable development, but also risks to ‘evidence-based’ policy making in this area when it relies too heavily on quantitative data. This article serves also as the introductory and framing paper for this special issue.

Suggested Citation

  • Carla Canelas & Rachel M. Gisselquist, 2019. "Horizontal Inequality and Data Challenges," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 157-172, May.
  • Handle: RePEc:spr:soinre:v:143:y:2019:i:1:d:10.1007_s11205-018-1932-1
    DOI: 10.1007/s11205-018-1932-1
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    Citations

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    Cited by:

    1. Muhammad Qahraman Kakar, 2021. "Ethnic Disparities, Women Education and Empowerment in South Asia," Erudite Ph.D Dissertations, Erudite, number ph21-01 edited by Manon Domingues Dos Santos, February.
    2. Katie M. Jajtner & Sophie Mitra & Christine Fountain & Austin Nichols, 2020. "Rising Income Inequality Through a Disability Lens: Trends in the United States 1981–2018," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(1), pages 81-114, August.
    3. Carla Canelas & Rachel M. Gisselquist, 2018. "Horizontal inequality as a dependent variable," WIDER Working Paper Series wp-2018-70, World Institute for Development Economic Research (UNU-WIDER).
    4. Patricia Funjika & Rachel M. Gisselquist, 2020. "Social mobility and inequality between groups," WIDER Working Paper Series wp-2020-12, World Institute for Development Economic Research (UNU-WIDER).
    5. Clifford Afoakwah & Xin Deng & Ilke Onur, 2023. "Reforms and education inequality in Ghana," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 853-878, May.
    6. Francisia S. S. E. Seda & Kevin Nobel Kurniawan & Yosef Hilarius Timu Pera, 2023. "Social Inclusion Challenges and the Future of Relational Wellbeing: The Case of Indonesia and South-Korea," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(1), pages 309-332, January.
    7. Mamello Thinyane & Debora Irene Christine, 2021. "Dimensioning Data Marginalization: Social Indicators Monitoring," Development, Palgrave Macmillan;Society for International Deveopment, vol. 64(1), pages 119-128, June.

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    More about this item

    Keywords

    Ethnic groups; Group-based inequality; Horizontal inequality; Inequality;
    All these keywords.

    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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