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Poor Numbers: explanation of Africa's statistical tragedy
[Pauvreté de chiffres : explication de la tragédie statistique africaine]

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  • Kodila-Tedika, Oasis

Abstract

Why does sub-Saharan Africa have statistics of low quality? We try to provide an answer by empirically testing a plethora of hypotheses. Results show that with the exception of English, French and Portuguese colonies, other colonies have a weak statistical capacity. Ethnic fragmentation, openness and revolutions lead to the same conclusion. Government effectiveness positively associated statistical capacity. The level of development has a nonlinear relationship with statistical capacity, while the effect of human capital remains complex. Pourquoi l’Afrique sub-saharienne a des statistiques de faible qualité ? Nous testons à partir d’un échantillon africain plusieurs hypothèses explicatives, de manière empirique. Les résultats suggèrent que les colonies autres qu’anglaises, portugaises et françaises ont des faibles capacités statistiques. La fragmentation ethnique, l’ouverture et les révolutions conduisent aussi à la même conclusion. L’efficacité du gouvernement explique positivement la capacité statistique. Le niveau de développement est associé de manière non linéaire à la capacité statistique. L’effet du capital humain reste complexe.

Suggested Citation

  • Kodila-Tedika, Oasis, 2013. "Poor Numbers: explanation of Africa's statistical tragedy
    [Pauvreté de chiffres : explication de la tragédie statistique africaine]
    ," MPRA Paper 43734, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:43734
    as

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    File URL: https://mpra.ub.uni-muenchen.de/47294/8/MPRA_paper_47294.pdf
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    References listed on IDEAS

    as
    1. Morten Jerven, 2010. "Random Growth in Africa? Lessons from an Evaluation of the Growth Evidence on Botswana, Kenya, Tanzania and Zambia, 1965-1995," Journal of Development Studies, Taylor & Francis Journals, vol. 46(2), pages 274-294.
    2. Oasis Kodila-Tedika, 2014. "Africa's statistical tragedy: best statistics, best government effectiveness," International Journal of Development Issues, Emerald Group Publishing, vol. 13(2), pages 171-178, July.
    3. Morten Jerven, 2013. "Comparability of GDP estimates in Sub-Saharan Africa: The effect of Revisions in Sources and Methods Since Structural Adjustment," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59, pages 16-36, October.
    4. Graziella Bertocchi & Andrea Guerzoni, 2012. "Growth, history, or institutions," Journal of Peace Research, Peace Research Institute Oslo, vol. 49(6), pages 769-783, November.
    5. Morten Jerven, 2011. "Counting the Bottom Billion," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 12(4), pages 35-52, October.
    6. Dimitri Sanga & Bakary Dosso & Steve Gui‐Diby, 2011. "Tracking Progress Towards Statistical Capacity Building Efforts: The African Statistical Development Index," International Statistical Review, International Statistical Institute, vol. 79(3), pages 303-329, December.
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    Cited by:

    1. Oasis Kodila-Tedika & Asongu Simplice, 2016. "State fragility, rent seeking and lobbying: evidence from African data," International Journal of Social Economics, Emerald Group Publishing, vol. 43(10), pages 1016-1030, October.

    More about this item

    Keywords

    Afrique sub-saharienne; capacité statistique; qualité des données;

    JEL classification:

    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • N17 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - Africa; Oceania

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