Enabling High-frequency and Real-time Poverty Monitoring in the Developing World with SWIFT
This report aims to familiarize those involved in estimating official poverty statistics with the SWIFT framework to enhance the frequency and quality of poverty data. It presentshow SWIFT works, discusses the advantages and caveats of the methodology, and provides examples of country-specific applications , covering cases such as: 1. Enhancing the frequency of poverty statistics using existing frequent household surveys, 2. Producing poverty statistics when an existing training dataset is not already available, 3. Exploring the integration of new data collection approaches, such as phone surveys and community based data collection into the SWIFT framework, and 4. Restoring comparability of poverty data over time.
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| Format: | Report biblioteca |
| Language: | English en_US |
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Washington, DC: World Bank
2024-04-29
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| Subjects: | SWIFT, POVERTY STATISTICS, SDG 1, SWIFT 2.0, |
| Online Access: | http://documents.worldbank.org/curated/en/099042324132035225/P1781301b25e910e81a6321c8aee750e815 https://hdl.handle.net/10986/41471 |
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dig-okr-10986414712024-05-02T02:26:43Z Enabling High-frequency and Real-time Poverty Monitoring in the Developing World with SWIFT Survey of Wellbeing via Instant and Frequent Tracking Yoshida, Nobuo Aron, Danielle Victoria SWIFT POVERTY STATISTICS SDG 1 SWIFT 2.0 This report aims to familiarize those involved in estimating official poverty statistics with the SWIFT framework to enhance the frequency and quality of poverty data. It presentshow SWIFT works, discusses the advantages and caveats of the methodology, and provides examples of country-specific applications , covering cases such as: 1. Enhancing the frequency of poverty statistics using existing frequent household surveys, 2. Producing poverty statistics when an existing training dataset is not already available, 3. Exploring the integration of new data collection approaches, such as phone surveys and community based data collection into the SWIFT framework, and 4. Restoring comparability of poverty data over time. 2024-04-29T17:43:40Z 2024-04-29T17:43:40Z 2024-04-29 Report http://documents.worldbank.org/curated/en/099042324132035225/P1781301b25e910e81a6321c8aee750e815 https://hdl.handle.net/10986/41471 English en_US Equitable Growth, Finance and Institutions Insight - Poverty and Equity CC BY-NC 3.0 IGO https://creativecommons.org/licenses/by-nc/3.0/igo World Bank application/pdf text/plain Washington, DC: World Bank |
| institution |
Banco Mundial |
| collection |
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| country |
Estados Unidos |
| countrycode |
US |
| component |
Bibliográfico |
| access |
En linea |
| databasecode |
dig-okr |
| tag |
biblioteca |
| region |
America del Norte |
| libraryname |
Biblioteca del Banco Mundial |
| language |
English en_US |
| topic |
SWIFT POVERTY STATISTICS SDG 1 SWIFT 2.0 SWIFT POVERTY STATISTICS SDG 1 SWIFT 2.0 |
| spellingShingle |
SWIFT POVERTY STATISTICS SDG 1 SWIFT 2.0 SWIFT POVERTY STATISTICS SDG 1 SWIFT 2.0 Yoshida, Nobuo Aron, Danielle Victoria Enabling High-frequency and Real-time Poverty Monitoring in the Developing World with SWIFT |
| description |
This report aims to familiarize those
involved in estimating official poverty statistics with the
SWIFT framework to enhance the frequency and quality of
poverty data. It presentshow SWIFT works, discusses the
advantages and caveats of the methodology, and provides
examples of country-specific applications , covering cases
such as: 1. Enhancing the frequency of poverty statistics
using existing frequent household surveys, 2. Producing
poverty statistics when an existing training dataset is not
already available, 3. Exploring the integration of new data
collection approaches, such as phone surveys and community
based data collection into the SWIFT framework, and 4.
Restoring comparability of poverty data over time. |
| format |
Report |
| topic_facet |
SWIFT POVERTY STATISTICS SDG 1 SWIFT 2.0 |
| author |
Yoshida, Nobuo Aron, Danielle Victoria |
| author_facet |
Yoshida, Nobuo Aron, Danielle Victoria |
| author_sort |
Yoshida, Nobuo |
| title |
Enabling High-frequency and Real-time Poverty Monitoring in the Developing World with SWIFT |
| title_short |
Enabling High-frequency and Real-time Poverty Monitoring in the Developing World with SWIFT |
| title_full |
Enabling High-frequency and Real-time Poverty Monitoring in the Developing World with SWIFT |
| title_fullStr |
Enabling High-frequency and Real-time Poverty Monitoring in the Developing World with SWIFT |
| title_full_unstemmed |
Enabling High-frequency and Real-time Poverty Monitoring in the Developing World with SWIFT |
| title_sort |
enabling high-frequency and real-time poverty monitoring in the developing world with swift |
| publisher |
Washington, DC: World Bank |
| publishDate |
2024-04-29 |
| url |
http://documents.worldbank.org/curated/en/099042324132035225/P1781301b25e910e81a6321c8aee750e815 https://hdl.handle.net/10986/41471 |
| work_keys_str_mv |
AT yoshidanobuo enablinghighfrequencyandrealtimepovertymonitoringinthedevelopingworldwithswift AT arondaniellevictoria enablinghighfrequencyandrealtimepovertymonitoringinthedevelopingworldwithswift AT yoshidanobuo surveyofwellbeingviainstantandfrequenttracking AT arondaniellevictoria surveyofwellbeingviainstantandfrequenttracking |
| _version_ |
1798164651834343424 |