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Africa's statistical tragedy: best statistics, best government effectiveness

Author

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  • Oasis Kodila-Tedika

Abstract

Purpose - – The author aims to analyze the effect of statistical capacity on government effectiveness/efficiency using cross-sectional from a sample of 48 African countries for the period 2003-2008. Design/methodology/approach - – The estimation technique used is a two-stage least squares instrumental variable methodology and ordinary least square. Findings - – The results show that statistical capacity positively affects government effectiveness/efficiency. It follows that countries with higher statistical capacity levels enjoy institutions of better quality than countries with low levels of statistical capacity. Practical implications - – As a policy implication, if Africa does not have effective governments, it is partly because it has a very weak statistical capacity. In such an environment, access to information for effective governance is compromised. Originality/value - – This paper contributes to existing literature on the determinants of institution by focusing on the distribution of the dependent variable (government effectiveness). The author stressed the importance of information and statistics capabilities.

Suggested Citation

  • Oasis Kodila-Tedika, 2014. "Africa's statistical tragedy: best statistics, best government effectiveness," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 13(2), pages 171-178, July.
    • Handle: RePEc:eme:ijdipp:v:13:y:2014:i:2:p:171-178
    DOI: 10.1108/IJDI-12-2013-0090
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    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Why you want good national statistics
      by Economic Logician in Economic Logic on 2012-08-27 19:50:00

    Citations

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    Cited by:

    1. 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.
    2. Christian Otchia & Simplice Asongu, 2020. "Industrial growth in sub-Saharan Africa: evidence from machine learning with insights from nightlight satellite images," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 48(8), pages 1421-1441, December.
    3. Kodila-Tedika, Oasis & Asongu, Simplice & Azia-Dimbu, Florentin, 2015. "Statistics and IQ in Developing Countries: A Note," MPRA Paper 68323, University Library of Munich, Germany.
    4. Oasis Kodila Tedika & Sherif Khalifa, 2023. "Official Visits and Economic Freedom," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 38(2), pages 219-246.

    More about this item

    Keywords

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    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • N17 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - Africa; Oceania

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