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Who Counts? Measuring Disability Cross- Nationally In Census Data

Author

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  • Pettinicchio, David
  • Maroto, Michelle Lee

    (University of Alberta)

Abstract

Despite established recommended standard definitions, measures, and methods by the UN Washington Group on Disability Statistics and the International Classification of Functioning, Disability and Health (ICF) to assess dimensions of disability, national censuses vary widely in the questions used to identify people with disabilities. Although many seek to conform ex-ante to ICF definitions, they also deviate from this basic framework in different ways. This complicates ex-post harmonization and standardization for cross-national comparisons of disability prevalence and outcomes influenced by disability status, such as labor market participation. Addressing these issues, this study uses IPUMS International Census microdata since 2,000 to examine disability mea- surement across 65 countries. We find that definitions, terminology, measurement, and instructions to both respondents and enumerators matter for understanding disability prevalence cross-nationally. For instance, questions that included potentially stigmatizing language were associated with lower rates of disability reporting, but questions that listed specific limitations were associated with higher rates. Beyond disability, our findings also speak more broadly to ongoing challenges in survey harmonization for cross-national comparison.

Suggested Citation

  • Pettinicchio, David & Maroto, Michelle Lee, 2021. "Who Counts? Measuring Disability Cross- Nationally In Census Data," SocArXiv j2uzp, Center for Open Science.
  • Handle: RePEc:osf:socarx:j2uzp
    DOI: 10.31219/osf.io/j2uzp
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    References listed on IDEAS

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    1. Richard Burkhauser & Mary Daly & Andrew Houtenville & Nigar Nargis, 2002. "Self-reported work-limitation data: What they can and cannot tell US," Demography, Springer;Population Association of America (PAA), vol. 39(3), pages 541-555, August.
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    3. Christine Jolls & J.J. Prescott, 2004. "Disaggregating Employment Protection: The Case of Disability Discrimination," NBER Working Papers 10740, National Bureau of Economic Research, Inc.
    4. Steven RUGGLES & Robert McCAA & Matthew SOBEK & Lara CLEVELAND, 2015. "The IPUMS Collaboration : Integratin and Disseminating the World’s Population Microdata," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 81(2), pages 203-216, June.
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    Cited by:

    1. Vuong, Vu & Palmer, Michael, 2024. "Love Thy Neighbour? Social Attitudes Towards Persons With Disabilities," World Development, Elsevier, vol. 174(C).

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