Using Poverty Maps to Improve the Design of Household Surveys
This paper proposes a new method for improving the design effect of household surveys based on a two-stage design in which the first stage clusters, or primary selection units, are stratified along administrative boundaries. Improvement of the design effect can result in more precise survey estimates (smaller standard errors and confidence intervals) or reduction of the necessary sample size, that is, a reduction in the budget needed for a survey. The proposed method is based on the availability of a previously conducted poverty mapping, that is, spatial descriptions of the distribution of poverty, which are finely disaggregated in small geographic units, such as cities, municipalities, districts, or other administrative partitions of a country that are linked to primary selection units. Such information is then used to select primary selection units with systematic sampling by introducing further implicit stratification in the survey design, to maximize the improvement of the design effect. The proposed methodology has been implemented for the new 2021 Household Budget Survey in Tunisia, conducted under a cooperation project funded by the World Bank. The underlying poverty mapping is based on the 2015 Household Budget Survey and the 2014 Population and Housing Census.
Main Authors: | , , |
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Format: | Working Paper biblioteca |
Language: | English |
Published: |
World Bank, Washington, DC
2021-05
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Subjects: | POVERTY MAPPING, HOUSEHOLD SURVEY, SURVEY DESIGN, INEQUALITY, POVERTY MEASUREMENT, IMPLICIT STRATIFICATION, INCOME DISTRIBUTION, |
Online Access: | http://documents.worldbank.org/curated/en/530521620065713055/Using-Poverty-Maps-to-Improve-the-Design-of-Household-Surveys-The-Evidence-from-Tunisia https://hdl.handle.net/10986/35546 |
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Summary: | This paper proposes a new method for
improving the design effect of household surveys based on a
two-stage design in which the first stage clusters, or
primary selection units, are stratified along administrative
boundaries. Improvement of the design effect can result in
more precise survey estimates (smaller standard errors and
confidence intervals) or reduction of the necessary sample
size, that is, a reduction in the budget needed for a
survey. The proposed method is based on the availability of
a previously conducted poverty mapping, that is, spatial
descriptions of the distribution of poverty, which are
finely disaggregated in small geographic units, such as
cities, municipalities, districts, or other administrative
partitions of a country that are linked to primary selection
units. Such information is then used to select primary
selection units with systematic sampling by introducing
further implicit stratification in the survey design, to
maximize the improvement of the design effect. The proposed
methodology has been implemented for the new 2021 Household
Budget Survey in Tunisia, conducted under a cooperation
project funded by the World Bank. The underlying poverty
mapping is based on the 2015 Household Budget Survey and the
2014 Population and Housing Census. |
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