Improving the Productivity of National Offices for Statistics
For decades, policy experts’ and practitioner consensus has been growing about the crucial role quality data plays in informing policy making. This has led to investment and projects to increase quality data availability. But progress has been slow...
| Main Authors: | , , |
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| Format: | Brief |
| Language: | English |
| Published: |
World Bank, Washington, DC
2020
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/381921591325928545/Improving-the-Productivity-of-National-Offices-for-Statistics-IPNOS http://hdl.handle.net/10986/33858 |
| Summary: | For decades, policy experts’ and
practitioner consensus has been growing about the crucial
role quality data plays in informing policy making. This has
led to investment and projects to increase quality data
availability. But progress has been slow, as reflected by
slow improvement in country statistical capacity, many
countries remain data deprived. The IPNOS toolkit is based
on the notion that producing more and better statistics,
while requiring adequate resources, should also be
efficient. Various initiatives assess national statistical
systems’ (NSS) and data production. The World Bank’s IPNOS
initiative complements existing kits, providing in-depth
analytical tools to evaluate the efficiency of national
statistical offices (NSOs), including costs, data quality,
and NSO management. IPNOS application in 3 countries has
identified bottlenecks and areas for improvement to inform
data policies. |
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