PMT Based Targeting in Burkina Faso
Beneficiaries of the ongoing safety net program Burkin-Naong-Saya in Burkina Faso are selected based on a multi-step targeting strategy. One part of this strategy is Proxy Means Testing (PMT). The current PMT method, however, was developed using ou...
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| Language: | English |
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World Bank, Washington, DC
2020
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| Online Access: | http://documents.worldbank.org/curated/en/685241583989927133/PMT-Based-Targeting-in-Burkina-Faso http://hdl.handle.net/10986/33467 |
| Summary: | Beneficiaries of the ongoing safety net
program Burkin-Naong-Saya in Burkina Faso are selected based
on a multi-step targeting strategy. One part of this
strategy is Proxy Means Testing (PMT). The current PMT
method, however, was developed using outdated 2009 data.
This study uses a new, nationally representative household
survey conducted in 2014 to evaluate the efficiency of
updated PMT models. The findings are three-fold. First, a
single national PMT model is preferable to
urban/rural-specific models. Second, while the updated
national model performs better than the old model in
selecting the poorest urban households, it does not perform
as well as the 2009 model in rural areas. Since rural areas
are the current focus of the intervention, the PMT formula
should not be changed. Third, parsimonious PMT models using
only variables from HEA questionnaires are almost as
efficient as models that use a much larger number of
variables. This allows for PMT targeting based on HEA data,
without the need for prior PMT data collection. |
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