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Human Development Index-like Small Area Estimates for Africa Computed from IPUMS-International Integrated Census Microdata

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  • I�aki Permanyer
  • Albert Esteve-Palos
  • Joan Garcia
  • Robert Mccaa

Abstract

This paper analyzes 24 African census samples from 13 countries available via the African Integrated Census MicroData website to illustrate how microdata may be used to assess development and pinpoint basic human needs at local administrative levels over time. We calculate a Human Development Index-like measure for small administrative areas, where much of the responsibility lies for executing policies related to health, education and general well-being. The methodological proposals introduced in this paper are particularly pertinent for the case of Africa. While it is true that data for much of Africa is not appropriate for economic growth rates or per-capita income estimates, the analysis in this paper demonstrates that they are good enough for many other purposes. Indeed, a major aggravating problem that contributes to the "African statistical tragedy" is the lack of accessibility to existing census microdata. This paper aims to illustrate the usefulness of census microdata--which are vastly under-utilized in Africa--and hopefully contribute to make them more transparent and freely accessible.

Suggested Citation

  • I�aki Permanyer & Albert Esteve-Palos & Joan Garcia & Robert Mccaa, 2015. "Human Development Index-like Small Area Estimates for Africa Computed from IPUMS-International Integrated Census Microdata," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 16(2), pages 245-271, May.
    • Handle: RePEc:taf:jhudca:v:16:y:2015:i:2:p:245-271
    DOI: 10.1080/19452829.2014.956300
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    References listed on IDEAS

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    1. Deon Filmer & Kinnon Scott, 2012. "Assessing Asset Indices," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 359-392, February.
    2. Sabina Alkire, James Foster, 2010. "Designing the Inequality-Adjusted Human Development Index (HDI)," OPHI Working Papers 37, Queen Elizabeth House, University of Oxford.
    3. Tara Bedi & Aline Coudouel & Kenneth Simler, 2007. "More Than a Pretty Picture : Using Poverty Maps to Design Better Policies and Interventions," World Bank Publications - Books, The World Bank Group, number 6800, December.
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    Cited by:

    1. Florianne C. J. Verkroost & Christiaan W. S. Monden, 2022. "Childlessness and Development in Sub-Saharan Africa: Is There Evidence for a U-shaped Pattern?," European Journal of Population, Springer;European Association for Population Studies, vol. 38(3), pages 319-352, August.
    2. Iñaki Permanyer & Nicolai Suppa, 2022. "Racing ahead or lagging behind? Territorial cohesion in human development around the globe," Regional Studies, Taylor & Francis Journals, vol. 56(12), pages 2086-2101, December.

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