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 The current PMT method, however, was developed using outdated 2009 data.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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Format: | Working Paper biblioteca |
Language: | English |
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World Bank, Washington, DC
2016-11-02
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Subjects: | PROXY MEANS TEST, POVERTY LINE, SOCIAL PROTECTION, TARGETING, VULNERABILITY, WELFARE INDICATORS, |
Online Access: | http://documents.worldbank.org/curated/en/685241583989927133/PMT-Based-Targeting-in-Burkina-Faso https://hdl.handle.net/10986/33467 |
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dig-okr-10986334672024-08-07T18:56:38Z PMT Based Targeting in Burkina Faso Gunnemann, Julius PROXY MEANS TEST POVERTY LINE SOCIAL PROTECTION TARGETING VULNERABILITY WELFARE INDICATORS 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 The current PMT method, however, was developed using outdated 2009 data.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. 2020-03-24T18:08:05Z 2020-03-24T18:08:05Z 2016-11-02 Working Paper Document de travail Documento de trabajo http://documents.worldbank.org/curated/en/685241583989927133/PMT-Based-Targeting-in-Burkina-Faso https://hdl.handle.net/10986/33467 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank application/pdf text/plain World Bank, Washington, DC |
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PROXY MEANS TEST POVERTY LINE SOCIAL PROTECTION TARGETING VULNERABILITY WELFARE INDICATORS PROXY MEANS TEST POVERTY LINE SOCIAL PROTECTION TARGETING VULNERABILITY WELFARE INDICATORS |
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PROXY MEANS TEST POVERTY LINE SOCIAL PROTECTION TARGETING VULNERABILITY WELFARE INDICATORS PROXY MEANS TEST POVERTY LINE SOCIAL PROTECTION TARGETING VULNERABILITY WELFARE INDICATORS Gunnemann, Julius PMT Based Targeting in Burkina Faso |
description |
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. |
format |
Working Paper |
topic_facet |
PROXY MEANS TEST POVERTY LINE SOCIAL PROTECTION TARGETING VULNERABILITY WELFARE INDICATORS |
author |
Gunnemann, Julius |
author_facet |
Gunnemann, Julius |
author_sort |
Gunnemann, Julius |
title |
PMT Based Targeting in Burkina Faso |
title_short |
PMT Based Targeting in Burkina Faso |
title_full |
PMT Based Targeting in Burkina Faso |
title_fullStr |
PMT Based Targeting in Burkina Faso |
title_full_unstemmed |
PMT Based Targeting in Burkina Faso |
title_sort |
pmt based targeting in burkina faso |
publisher |
World Bank, Washington, DC |
publishDate |
2016-11-02 |
url |
http://documents.worldbank.org/curated/en/685241583989927133/PMT-Based-Targeting-in-Burkina-Faso https://hdl.handle.net/10986/33467 |
work_keys_str_mv |
AT gunnemannjulius pmtbasedtargetinginburkinafaso |
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1807158621081960448 |