Small Area Estimation of Poverty under Structural Change
Small area poverty maps allow for the design of policies based on spatial differences in welfare. They are typically estimated based on a consumption survey reporting on poverty and a census providing the spatial disaggregation. This paper presents a new method which allows for the estimation of up-to-date small area poverty maps when only a dated census and a more recent survey are available and predictors and structural parameters are subject to drift over time, a situation commonly encountered in practice. Instead of using survey variables to explain consumption in the survey, the new approach uses variables constructed from the census. The proposed estimator has fewer data requirements and weaker assumptions than common small area poverty map estimators. Applications to simulated data and to poverty estimation in Brazil show an overall good performance.
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| Format: | Working Paper biblioteca |
| Language: | English |
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World Bank, Washington, DC
2018-06
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| Subjects: | POVERTY ESTIMATE, SMALL AREA ESTIMATION, CENSUS, CONSUMPTION SURVEY, POVERTY MEASUREMENT, POVERTY MAPPING, |
| Online Access: | http://documents.worldbank.org/curated/en/612621528823563131/Small-area-estimation-of-poverty-under-structural-change https://hdl.handle.net/10986/29901 |
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dig-okr-10986299012024-08-09T07:44:56Z Small Area Estimation of Poverty under Structural Change Lange, Simon Pape, Utz Johann Putz, Peter POVERTY ESTIMATE SMALL AREA ESTIMATION CENSUS CONSUMPTION SURVEY POVERTY MEASUREMENT POVERTY MAPPING Small area poverty maps allow for the design of policies based on spatial differences in welfare. They are typically estimated based on a consumption survey reporting on poverty and a census providing the spatial disaggregation. This paper presents a new method which allows for the estimation of up-to-date small area poverty maps when only a dated census and a more recent survey are available and predictors and structural parameters are subject to drift over time, a situation commonly encountered in practice. Instead of using survey variables to explain consumption in the survey, the new approach uses variables constructed from the census. The proposed estimator has fewer data requirements and weaker assumptions than common small area poverty map estimators. Applications to simulated data and to poverty estimation in Brazil show an overall good performance. 2018-06-19T15:35:33Z 2018-06-19T15:35:33Z 2018-06 Working Paper Document de travail Documento de trabajo http://documents.worldbank.org/curated/en/612621528823563131/Small-area-estimation-of-poverty-under-structural-change https://hdl.handle.net/10986/29901 English Policy Research Working Paper;No. 8472 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank application/pdf World Bank, Washington, DC |
| 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 |
| topic |
POVERTY ESTIMATE SMALL AREA ESTIMATION CENSUS CONSUMPTION SURVEY POVERTY MEASUREMENT POVERTY MAPPING POVERTY ESTIMATE SMALL AREA ESTIMATION CENSUS CONSUMPTION SURVEY POVERTY MEASUREMENT POVERTY MAPPING |
| spellingShingle |
POVERTY ESTIMATE SMALL AREA ESTIMATION CENSUS CONSUMPTION SURVEY POVERTY MEASUREMENT POVERTY MAPPING POVERTY ESTIMATE SMALL AREA ESTIMATION CENSUS CONSUMPTION SURVEY POVERTY MEASUREMENT POVERTY MAPPING Lange, Simon Pape, Utz Johann Putz, Peter Small Area Estimation of Poverty under Structural Change |
| description |
Small area poverty maps allow for the
design of policies based on spatial differences in welfare.
They are typically estimated based on a consumption survey
reporting on poverty and a census providing the spatial
disaggregation. This paper presents a new method which
allows for the estimation of up-to-date small area poverty
maps when only a dated census and a more recent survey are
available and predictors and structural parameters are
subject to drift over time, a situation commonly encountered
in practice. Instead of using survey variables to explain
consumption in the survey, the new approach uses variables
constructed from the census. The proposed estimator has
fewer data requirements and weaker assumptions than common
small area poverty map estimators. Applications to simulated
data and to poverty estimation in Brazil show an overall
good performance. |
| format |
Working Paper |
| topic_facet |
POVERTY ESTIMATE SMALL AREA ESTIMATION CENSUS CONSUMPTION SURVEY POVERTY MEASUREMENT POVERTY MAPPING |
| author |
Lange, Simon Pape, Utz Johann Putz, Peter |
| author_facet |
Lange, Simon Pape, Utz Johann Putz, Peter |
| author_sort |
Lange, Simon |
| title |
Small Area Estimation of Poverty under Structural Change |
| title_short |
Small Area Estimation of Poverty under Structural Change |
| title_full |
Small Area Estimation of Poverty under Structural Change |
| title_fullStr |
Small Area Estimation of Poverty under Structural Change |
| title_full_unstemmed |
Small Area Estimation of Poverty under Structural Change |
| title_sort |
small area estimation of poverty under structural change |
| publisher |
World Bank, Washington, DC |
| publishDate |
2018-06 |
| url |
http://documents.worldbank.org/curated/en/612621528823563131/Small-area-estimation-of-poverty-under-structural-change https://hdl.handle.net/10986/29901 |
| work_keys_str_mv |
AT langesimon smallareaestimationofpovertyunderstructuralchange AT papeutzjohann smallareaestimationofpovertyunderstructuralchange AT putzpeter smallareaestimationofpovertyunderstructuralchange |
| _version_ |
1807156625963745280 |