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Statistical Performance Indicators and Index : A New Tool to Measure Country Statistical Capacity

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  • Dang,Hai-Anh H.
  • Pullinger,John James
  • Serajuddin,Umar
  • Stacy,Brian William

Abstract

The World Bank’s Statistical Capacity Index has been widely employed to measure country statistical capacity since its inception two decades ago. This paper builds on the existing advantages of the Statistical Capacity Index, conceptually and empirically, to offer new statistical performance indicators and the Statistical Performance Index, which can better measure a country’s statistical performance. The new index has clearer conceptual motivations, employs a stronger mathematical foundation, and significantly expands the number of indicators and countries covered. The paper further provides empirical evidence that illustrates the strong correlation of the new index with other commonly used development indicators of human capital, governance, poverty, and inequality. The framework can accommodate future directions to improve the index as the global data landscape evolves

Suggested Citation

  • Dang,Hai-Anh H. & Pullinger,John James & Serajuddin,Umar & Stacy,Brian William, 2021. "Statistical Performance Indicators and Index : A New Tool to Measure Country Statistical Capacity," Policy Research Working Paper Series 9570, The World Bank.
    • Handle: RePEc:wbk:wbrwps:9570
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    References listed on IDEAS

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    1. Dang, Hai-Anh H. & Serajuddin, Umar, 2020. "Tracking the sustainable development goals: Emerging measurement challenges and further reflections," World Development, Elsevier, vol. 127(C).
    2. Morck, Randall & Yeung, Bernard, 2016. "China in Asia," China Economic Review, Elsevier, vol. 40(C), pages 297-308.
    3. Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
    4. Shantayanan Devarajan, 2013. "Africa's Statistical Tragedy," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59, pages 9-15, October.
    5. Johannes Hoogeveen & Nga Thi Viet Nguyen, 2019. "Statistics Reform in Africa: Aligning Incentives with Results," Journal of Development Studies, Taylor & Francis Journals, vol. 55(4), pages 702-719, April.
    6. Kilic,Talip & Serajuddin,Umar & Uematsu,Hiroki & Yoshida,Nobuo & Kilic,Talip & Serajuddin,Umar & Uematsu,Hiroki & Yoshida,Nobuo, 2017. "Costing household surveys for monitoring progress toward ending extreme poverty and boosting shared prosperity," Policy Research Working Paper Series 7951, The World Bank.
    7. Kaufmann, Daniel & Kraay, Aart & Mastruzzi, Massimo, 2010. "The worldwide governance indicators : methodology and analytical issues," Policy Research Working Paper Series 5430, The World Bank.
    8. 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.
    9. Sampawende J.‐A. Tapsoba & Codjo Neree Noumon & Robert C. York, 2017. "Can Statistical Capacity Building Help Reduce Procyclical Fiscal Policy?," Journal of International Development, John Wiley & Sons, Ltd., vol. 29(4), pages 407-430, May.
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    Cited by:

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    2. Evans, David K. & Mendez Acosta, Amina, 2023. "How to measure student absenteeism in low- and middle-income countries," Economics of Education Review, Elsevier, vol. 96(C).

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