The highways and side roads of statistical capacity building

Author:

Lokshin Michael

Abstract

This paper proposes an approach to guide statistical capacity building in developing countries using an analysis based on components of the World Bank’s Statistical Performance Indicator on a sample of 215 countries. The approach demonstrates the importance of expanding traditional capacity-building activities to include programs to strengthen and better monitor the ability of National Statistical Systems (NSS) to respond to user data needs. Based on this analysis, the paper recommends a two-step strategy for building and enhancing the statistical capacity of national statistical systems in developing countries. The strategy creates a sustainable trajectory for developing NSSs that meets the growing demands of local and global data users. The paper emphasizes the importance of donor coordination and South-South learning initiatives for international capacity-building efforts.

Publisher

IOS Press

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Management Information Systems

Reference46 articles.

1. OECD. Measuring the non-observed economy: A handbook, OECD, IMF, ILO, Interstate Statistical Committee of the Commonwealth of Independent States, 2002.

2. PARIS21. Proposing a framework for statistical capacity development 4.0, PARIS21, Paris. 2017.

3. Africa statistical tragedy;Devarajan;Review of Income and Wealth,2013

4. UNECE. How are national statistical offices contributing to managing the COVID-19 disaster? Virtual Discussion. June 10, 2020. Accessed at: https://unece.org/statistics/events/how-are-national-statistical-offices-contributing-managing-covid-19-disaster.

5. UNDESA. Monitoring the state of statistical operations under the COVID-19 pandemic. UN Department of Economic and Social Affairs, World Bank. December 2020. Accessed at: https://unstats.un.org/unsd/covid19-response/covid19-nso-survey-report-3.pdf. 2020.

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