Measuring Monetary Poverty in the Middle East and North Africa Region : Data Gaps and Different Options to Address Them
This paper identifies gaps in availability, access, and quality of household budget surveys in the Middle East and North Africa region used to measure monetary poverty and evaluates ways to fill these information gaps. Despite improving public acce...
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| Format: | Working Paper |
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World Bank, Washington, DC
2020
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| Online Access: | http://documents.worldbank.org/curated/en/114681590710969392/Measuring-Monetary-Poverty-in-the-Middle-East-and-North-Africa-MENA-Region-Data-Gaps-and-Different-Options-to-Address-Them http://hdl.handle.net/10986/33843 |
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okr-10986-338432022-09-20T00:12:18Z Measuring Monetary Poverty in the Middle East and North Africa Region : Data Gaps and Different Options to Address Them Atamanov, Aziz Tandon, Sharad Lopez-Acevedo, Gladys Vergara Bahena, Mexico Alberto POVERTY MEASUREMENT HOUSEHOLD SURVEYS HOUSEHOLD BUDGET CONSUMPTION HOUSEHOLD WELFARE IMPUTATION METHODS This paper identifies gaps in availability, access, and quality of household budget surveys in the Middle East and North Africa region used to measure monetary poverty and evaluates ways to fill these information gaps. Despite improving public access to household budget surveys, the availability and timeliness of welfare data in the Middle East and North Africa region is poor compared to the rest of the world. Closing the data gap requires collection of more HBS data in more countries and improving access to data where it exists. However, when collection of consumption data is not possible, a variety of other second-best strategies can be employed. Using imputation methods can help to measure monetary poverty. Constructing non-monetary poverty and asset indexes from less robust surveys, using non-traditional surveys such as phone surveys, and "big data" -- administrative records, social networks and communications data, and geospatial data -- can help substitute for, or complement data from existing traditional survey data. 2020-06-04T13:41:40Z 2020-06-04T13:41:40Z 2020-05 Working Paper http://documents.worldbank.org/curated/en/114681590710969392/Measuring-Monetary-Poverty-in-the-Middle-East-and-North-Africa-MENA-Region-Data-Gaps-and-Different-Options-to-Address-Them http://hdl.handle.net/10986/33843 English Policy Research Working Paper;No. 9259 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Policy Research Working Paper Publications & Research :: Policy Research Working Paper Middle East and North Africa Middle East North Africa |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
POVERTY MEASUREMENT HOUSEHOLD SURVEYS HOUSEHOLD BUDGET CONSUMPTION HOUSEHOLD WELFARE IMPUTATION METHODS |
| spellingShingle |
POVERTY MEASUREMENT HOUSEHOLD SURVEYS HOUSEHOLD BUDGET CONSUMPTION HOUSEHOLD WELFARE IMPUTATION METHODS Atamanov, Aziz Tandon, Sharad Lopez-Acevedo, Gladys Vergara Bahena, Mexico Alberto Measuring Monetary Poverty in the Middle East and North Africa Region : Data Gaps and Different Options to Address Them |
| geographic_facet |
Middle East and North Africa Middle East North Africa |
| relation |
Policy Research Working Paper;No. 9259 |
| description |
This paper identifies gaps in
availability, access, and quality of household budget
surveys in the Middle East and North Africa region used to
measure monetary poverty and evaluates ways to fill these
information gaps. Despite improving public access to
household budget surveys, the availability and timeliness of
welfare data in the Middle East and North Africa region is
poor compared to the rest of the world. Closing the data gap
requires collection of more HBS data in more countries and
improving access to data where it exists. However, when
collection of consumption data is not possible, a variety of
other second-best strategies can be employed. Using
imputation methods can help to measure monetary poverty.
Constructing non-monetary poverty and asset indexes from
less robust surveys, using non-traditional surveys such as
phone surveys, and "big data" -- administrative
records, social networks and communications data, and
geospatial data -- can help substitute for, or complement
data from existing traditional survey data. |
| format |
Working Paper |
| author |
Atamanov, Aziz Tandon, Sharad Lopez-Acevedo, Gladys Vergara Bahena, Mexico Alberto |
| author_facet |
Atamanov, Aziz Tandon, Sharad Lopez-Acevedo, Gladys Vergara Bahena, Mexico Alberto |
| author_sort |
Atamanov, Aziz |
| title |
Measuring Monetary Poverty in the Middle East and North Africa Region : Data Gaps and Different Options to Address Them |
| title_short |
Measuring Monetary Poverty in the Middle East and North Africa Region : Data Gaps and Different Options to Address Them |
| title_full |
Measuring Monetary Poverty in the Middle East and North Africa Region : Data Gaps and Different Options to Address Them |
| title_fullStr |
Measuring Monetary Poverty in the Middle East and North Africa Region : Data Gaps and Different Options to Address Them |
| title_full_unstemmed |
Measuring Monetary Poverty in the Middle East and North Africa Region : Data Gaps and Different Options to Address Them |
| title_sort |
measuring monetary poverty in the middle east and north africa region : data gaps and different options to address them |
| publisher |
World Bank, Washington, DC |
| publishDate |
2020 |
| url |
http://documents.worldbank.org/curated/en/114681590710969392/Measuring-Monetary-Poverty-in-the-Middle-East-and-North-Africa-MENA-Region-Data-Gaps-and-Different-Options-to-Address-Them http://hdl.handle.net/10986/33843 |
| _version_ |
1764479639234805760 |