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...
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World Bank, Washington, DC
2019
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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 |
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okr-10986-313802021-05-25T10:54:37Z Collecting Robust Real-Time High Frequency Price Data in Fragile Settings Pape, Utz J. Nunez Chaim, Gonzalo I. FRAGILE STATES POVERTY DATA COLLECTION PRICES REAL-TIME DATA EXCHANGE RATES MARKET PRICES INFLATION 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. 2019-03-13T18:58:41Z 2019-03-13T18:58:41Z 2019-03 Brief http://documents.worldbank.org/curated/en/569211552328966515/Collecting-Robust-Real-Time-High-Frequency-Price-Data-in-Fragile-Settings http://hdl.handle.net/10986/31380 English Poverty and Equity Notes;No. 12 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Brief Africa Somalia South Sudan |
repository_type |
Digital Repository |
institution_category |
Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
English |
topic |
FRAGILE STATES POVERTY DATA COLLECTION PRICES REAL-TIME DATA EXCHANGE RATES MARKET PRICES INFLATION |
spellingShingle |
FRAGILE STATES POVERTY DATA COLLECTION PRICES REAL-TIME DATA EXCHANGE RATES MARKET PRICES INFLATION Pape, Utz J. Nunez Chaim, Gonzalo I. Collecting Robust Real-Time High Frequency Price Data in Fragile Settings |
geographic_facet |
Africa Somalia South Sudan |
relation |
Poverty and Equity Notes;No. 12 |
description |
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. |
format |
Brief |
author |
Pape, Utz J. Nunez Chaim, Gonzalo I. |
author_facet |
Pape, Utz J. Nunez Chaim, Gonzalo I. |
author_sort |
Pape, Utz J. |
title |
Collecting Robust Real-Time High Frequency Price Data in Fragile Settings |
title_short |
Collecting Robust Real-Time High Frequency Price Data in Fragile Settings |
title_full |
Collecting Robust Real-Time High Frequency Price Data in Fragile Settings |
title_fullStr |
Collecting Robust Real-Time High Frequency Price Data in Fragile Settings |
title_full_unstemmed |
Collecting Robust Real-Time High Frequency Price Data in Fragile Settings |
title_sort |
collecting robust real-time high frequency price data in fragile settings |
publisher |
World Bank, Washington, DC |
publishDate |
2019 |
url |
http://documents.worldbank.org/curated/en/569211552328966515/Collecting-Robust-Real-Time-High-Frequency-Price-Data-in-Fragile-Settings http://hdl.handle.net/10986/31380 |
_version_ |
1764474195925794816 |