Collecting Robust Real-Time High Frequency Price Data in Fragile Settings
To embark on a sustainable pathway toward development, effective policy responses must be implemented quickly and based on evidence. This requires reliable, timely data, which is often unavailable especially in fragile settings. An innovative High...
| Main Authors: | , |
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| Format: | Brief |
| Language: | English |
| Published: |
World Bank, Washington, DC
2019
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/569211552328966515/Collecting-Robust-Real-Time-High-Frequency-Price-Data-in-Fragile-Settings http://hdl.handle.net/10986/31380 |
| Summary: | To embark on a sustainable pathway
toward development, effective policy responses must be
implemented quickly and based on evidence. This requires
reliable, timely data, which is often unavailable especially
in fragile settings. An innovative High Frequency Survey
(HFS) infrastructure offers a modern data collection system
to fill critical data gaps. It can provide quantitative data
to inform programs and policies, often linked to resilience
in fragile settings. Using the cases of Somalia and South
Sudan, this note describes the design and setup of such a
HFS infrastructure and illustrates how high frequency price
data can effectively support decision-making even in the
event of an economic or humanitarian crisis. |
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