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Measuring the Statistical Capacity of Nations

Author

Listed:
  • Cameron, Grant J.

    (World Bank)

  • Dang, Hai-Anh H

    (World Bank)

  • Dinc, Mustafa

    (World Bank)

  • Foster, James

    (George Washington University)

  • Lokshin, Michael

    (World Bank and Higher School of Economics, Moscow)

Abstract

The international development community has used the World Bank's Statistical Capacity Index since its inception in 2004. The Sustainable Development Goals create new challenges for national statistical systems to produce high-quality and internationally comparable data. This paper reviews measurement methodologies, posits desired attributes, and presents theoretical and empirical frameworks to propose a new, improved index to monitor progress in the statistical capacity of nations. The paper illustrates the properties of the proposed index with global data from 2016.

Suggested Citation

  • Cameron, Grant J. & Dang, Hai-Anh H & Dinc, Mustafa & Foster, James & Lokshin, Michael, 2020. "Measuring the Statistical Capacity of Nations," IZA Discussion Papers 13895, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp13895
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Dang,Hai-Anh H. & Pullinger,John James & Serajuddin,Umar & Stacy,Brian William, 2024. "Reviewing Assessment Tools for Measuring Country Statistical Capacity," Policy Research Working Paper Series 10717, The World Bank.
    2. Dang, Hai-Anh H. & Serajuddin, Umar, 2020. "Tracking the sustainable development goals: Emerging measurement challenges and further reflections," World Development, Elsevier, vol. 127(C).
    3. Dang, Hai Anh H. & Jolliffe, Dean & Serajuddin, Umar & Stacy, Brian, 2024. "Country statistical capacity: a recent assessment tool and further reflections on the way forward," LSE Research Online Documents on Economics 124060, London School of Economics and Political Science, LSE Library.
    4. Lokshin,Michael M., 2021. "The Highways and Side Roads of Statistical Capacity Building," Policy Research Working Paper Series 9764, The World Bank.
    5. Dang, Hai-Anh H & Carletto, Calogero, 2022. "Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation," IZA Discussion Papers 14997, Institute of Labor Economics (IZA).
    6. Marlee Tichenor, 2022. "Statistical capacity development and the production of epistemic infrastructures [The millennium development goals: A critique from the south]," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 41(4), pages 541-554.
    7. Anrafel de Souza Barbosa & Maria Cristina Crispim & Luiz Bueno da Silva & Jonhatan Magno Norte da Silva & Aglaucibelly Maciel Barbosa & Sandra Naomi Morioka, 2024. "How can organizations measure the integration of environmental, social, and governance (ESG) criteria? Validation of an instrument using item response theory to capture workers' perception," Business Strategy and the Environment, Wiley Blackwell, vol. 33(4), pages 3607-3634, May.

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    More about this item

    Keywords

    statistical capacity; statistical indicators; statistical index; national statistical system; data; measurement;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • H00 - Public Economics - - General - - - General
    • I00 - Health, Education, and Welfare - - General - - - General
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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