Using Poverty Maps to Improve the Design of Household Surveys : The Evidence from Tunisia
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 desi...
| Main Authors: | , , |
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| Format: | Working Paper |
| Language: | English |
| Published: |
World Bank, Washington, DC
2021
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/530521620065713055/Using-Poverty-Maps-to-Improve-the-Design-of-Household-Surveys-The-Evidence-from-Tunisia http://hdl.handle.net/10986/35546 |
| 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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