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 The current PMT method, however, was developed using outdated 2009 data.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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Bibliographic Details
Main Author: Gunnemann, Julius
Format: Working Paper biblioteca
Language:English
Published: World Bank, Washington, DC 2016-11-02
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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spelling 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 The current PMT method, however, was developed using outdated 2009 data.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
institution Banco Mundial
collection DSpace
country Estados Unidos
countrycode US
component Bibliográfico
access En linea
databasecode dig-okr
tag biblioteca
region America del Norte
libraryname Biblioteca del Banco Mundial
language English
topic PROXY MEANS TEST
POVERTY LINE
SOCIAL PROTECTION
TARGETING
VULNERABILITY
WELFARE INDICATORS
PROXY MEANS TEST
POVERTY LINE
SOCIAL PROTECTION
TARGETING
VULNERABILITY
WELFARE INDICATORS
spellingShingle 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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