Measuring Monetary Poverty in the Middle East and North Africa Region
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.
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Format: | Working Paper biblioteca |
Language: | English |
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World Bank, Washington, DC
2020-05
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Subjects: | POVERTY MEASUREMENT, HOUSEHOLD SURVEYS, HOUSEHOLD BUDGET, CONSUMPTION, HOUSEHOLD WELFARE, IMPUTATION METHODS, |
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 https://hdl.handle.net/10986/33843 |
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dig-okr-10986338432024-08-09T06:24:03Z Measuring Monetary Poverty in the Middle East and North Africa Region Data Gaps and Different Options to Address Them Tandon, Sharad Atamanov, Aziz Vergara Bahena, Mexico Alberto Lopez-Acevedo, Gladys 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 Document de travail Documento de trabajo 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 https://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 application/pdf text/plain World Bank, Washington, DC |
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POVERTY MEASUREMENT HOUSEHOLD SURVEYS HOUSEHOLD BUDGET CONSUMPTION HOUSEHOLD WELFARE IMPUTATION METHODS POVERTY MEASUREMENT HOUSEHOLD SURVEYS HOUSEHOLD BUDGET CONSUMPTION HOUSEHOLD WELFARE IMPUTATION METHODS |
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POVERTY MEASUREMENT HOUSEHOLD SURVEYS HOUSEHOLD BUDGET CONSUMPTION HOUSEHOLD WELFARE IMPUTATION METHODS POVERTY MEASUREMENT HOUSEHOLD SURVEYS HOUSEHOLD BUDGET CONSUMPTION HOUSEHOLD WELFARE IMPUTATION METHODS Tandon, Sharad Atamanov, Aziz Vergara Bahena, Mexico Alberto Lopez-Acevedo, Gladys Measuring Monetary Poverty in the Middle East and North Africa Region |
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 |
topic_facet |
POVERTY MEASUREMENT HOUSEHOLD SURVEYS HOUSEHOLD BUDGET CONSUMPTION HOUSEHOLD WELFARE IMPUTATION METHODS |
author |
Tandon, Sharad Atamanov, Aziz Vergara Bahena, Mexico Alberto Lopez-Acevedo, Gladys |
author_facet |
Tandon, Sharad Atamanov, Aziz Vergara Bahena, Mexico Alberto Lopez-Acevedo, Gladys |
author_sort |
Tandon, Sharad |
title |
Measuring Monetary Poverty in the Middle East and North Africa Region |
title_short |
Measuring Monetary Poverty in the Middle East and North Africa Region |
title_full |
Measuring Monetary Poverty in the Middle East and North Africa Region |
title_fullStr |
Measuring Monetary Poverty in the Middle East and North Africa Region |
title_full_unstemmed |
Measuring Monetary Poverty in the Middle East and North Africa Region |
title_sort |
measuring monetary poverty in the middle east and north africa region |
publisher |
World Bank, Washington, DC |
publishDate |
2020-05 |
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 https://hdl.handle.net/10986/33843 |
work_keys_str_mv |
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_version_ |
1807159505576787968 |