A Map of the Poor or a Poor Map?
This paper evaluates the performance of different small area estimation methods using model and design-based simulation experiments. Design-based simulation experiments are carried out using the Mexican Intra Censal survey as a census of roughly 3....
| Main Authors: | , , , |
|---|---|
| Format: | Working Paper |
| Language: | English |
| Published: |
World Bank, Washington, DC
2021
|
| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/306321618243114157/A-Map-of-the-Poor-or-a-Poor-Map http://hdl.handle.net/10986/35442 |
| id |
okr-10986-35442 |
|---|---|
| recordtype |
oai_dc |
| spelling |
okr-10986-354422022-09-20T00:09:18Z A Map of the Poor or a Poor Map? Corral, Paul Himelein, Kristen McGee, Kevin Molina, Isabel SMALL AREA ESTIMATE POVERTY MAPPING NESTED ERROR MODEL PARAMETRIC BOOTSTRAP HOUSEHOLD SURVEY This paper evaluates the performance of different small area estimation methods using model and design-based simulation experiments. Design-based simulation experiments are carried out using the Mexican Intra Censal survey as a census of roughly 3.9 million households from which 500 samples are drawn using a two-stage selection procedure similar to that of Living Standards Measurement Study surveys. Several unit-level methods are considered as well as a method that combines unit and area level information, which has been proposed as an alternative when the available census data is outdated. The findings show the importance of selecting a proper model and data transformation so that the model assumptions hold. A proper data transformation can lead to a considerable improvement in mean squared errors. The results from design-based validation show that all small area estimation methods represent an improvement, in terms of mean squared errors, over direct estimates. However, methods that model unit level welfare using only area level information suffer from considerable bias. Because the magnitude and direction of the bias are unknown ex ante, methods that rely only on aggregated covariates should be used with caution, but they may be an alternative to traditional area level models when these are not applicable. 2021-04-19T13:27:15Z 2021-04-19T13:27:15Z 2021-04 Working Paper http://documents.worldbank.org/curated/en/306321618243114157/A-Map-of-the-Poor-or-a-Poor-Map http://hdl.handle.net/10986/35442 English Policy Research Working Paper;No. 9620 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper Latin America & Caribbean Mexico |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
SMALL AREA ESTIMATE POVERTY MAPPING NESTED ERROR MODEL PARAMETRIC BOOTSTRAP HOUSEHOLD SURVEY |
| spellingShingle |
SMALL AREA ESTIMATE POVERTY MAPPING NESTED ERROR MODEL PARAMETRIC BOOTSTRAP HOUSEHOLD SURVEY Corral, Paul Himelein, Kristen McGee, Kevin Molina, Isabel A Map of the Poor or a Poor Map? |
| geographic_facet |
Latin America & Caribbean Mexico |
| relation |
Policy Research Working Paper;No. 9620 |
| description |
This paper evaluates the performance of
different small area estimation methods using model and
design-based simulation experiments. Design-based simulation
experiments are carried out using the Mexican Intra Censal
survey as a census of roughly 3.9 million households from
which 500 samples are drawn using a two-stage selection
procedure similar to that of Living Standards Measurement
Study surveys. Several unit-level methods are considered as
well as a method that combines unit and area level
information, which has been proposed as an alternative when
the available census data is outdated. The findings show the
importance of selecting a proper model and data
transformation so that the model assumptions hold. A proper
data transformation can lead to a considerable improvement
in mean squared errors. The results from design-based
validation show that all small area estimation methods
represent an improvement, in terms of mean squared errors,
over direct estimates. However, methods that model unit
level welfare using only area level information suffer from
considerable bias. Because the magnitude and direction of
the bias are unknown ex ante, methods that rely only on
aggregated covariates should be used with caution, but they
may be an alternative to traditional area level models when
these are not applicable. |
| format |
Working Paper |
| author |
Corral, Paul Himelein, Kristen McGee, Kevin Molina, Isabel |
| author_facet |
Corral, Paul Himelein, Kristen McGee, Kevin Molina, Isabel |
| author_sort |
Corral, Paul |
| title |
A Map of the Poor or a Poor Map? |
| title_short |
A Map of the Poor or a Poor Map? |
| title_full |
A Map of the Poor or a Poor Map? |
| title_fullStr |
A Map of the Poor or a Poor Map? |
| title_full_unstemmed |
A Map of the Poor or a Poor Map? |
| title_sort |
map of the poor or a poor map? |
| publisher |
World Bank, Washington, DC |
| publishDate |
2021 |
| url |
http://documents.worldbank.org/curated/en/306321618243114157/A-Map-of-the-Poor-or-a-Poor-Map http://hdl.handle.net/10986/35442 |
| _version_ |
1764483042574860288 |