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On the measurement of educational attainment and inequality with ordinal variables

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  • Audrey Dumas
  • Jacques Silber

Abstract

Data on educational attainments are often qualitative data where the only information available is the highest level of education of the individual. If these levels of education may be ranked, the information available becomes ordinal. It is then possible to use measures of inequality as well as of overall attainment suggested in recent years (mostly in the field of self-assessed health) for the case where only ordinal information is available. This paper adopts these recent suggestions and proposes new measures of educational inequality and overall educational attainment. Our empirical illustration is based on Eurostat data for the year 2011.

Suggested Citation

  • Audrey Dumas & Jacques Silber, 2021. "On the measurement of educational attainment and inequality with ordinal variables," Education Economics, Taylor & Francis Journals, vol. 29(2), pages 158-172, March.
    • Handle: RePEc:taf:edecon:v:29:y:2021:i:2:p:158-172
    DOI: 10.1080/09645292.2020.1856336
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    Cited by:

    1. Saibal Ghosh, 2022. "Firm Performance and Productivity: Is Labour an Obstacle?," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 65(3), pages 709-728, September.

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