Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity?

The increasing growth of forced displacement worldwide has led to the stronger interest of various stakeholders in measuring poverty among refugee populations. However, refugee data remain scarce, particularly in relation to the measurement of inco...

Full description

Bibliographic Details
Main Authors:	Dang, Hai-Anh H., Verme, Paolo
Format:	Working Paper
Language:	English
Published:	World Bank, Washington, DC 2019
Subjects:	POVERTY POVERTY MEASUREMENT POVERTY ESTIMATE REFUGEES DATA SCARCITY
Online Access:	http://documents.worldbank.org/curated/en/271261575398109919/Estimating-Poverty-for-Refugee-Populations-Can-Cross-Survey-Imputation-Methods-Substitute-for-Data-Scarcity http://hdl.handle.net/10986/33020

id	okr-10986-33020
recordtype	oai_dc
spelling	okr-10986-330202022-09-20T00:13:46Z Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity? Dang, Hai-Anh H. Verme, Paolo POVERTY POVERTY MEASUREMENT POVERTY ESTIMATE REFUGEES DATA SCARCITY The increasing growth of forced displacement worldwide has led to the stronger interest of various stakeholders in measuring poverty among refugee populations. However, refugee data remain scarce, particularly in relation to the measurement of income, consumption, or expenditure. This paper offers a first attempt to measure poverty among refugees using cross-survey imputations and administrative and survey data collected by the United Nations High Commissioner for Refugees in Jordan. Employing a small number of predictors currently available in the United Nations High Commissioner for Refugees registration system, the proposed methodology offers out-of-sample predicted poverty rates. These estimates are not statistically different from the actual poverty rates. The estimates are robust to different poverty lines, they are more accurate than those based on asset indexes or proxy means tests, and they perform well according to targeting indicators. They can also be obtained with relatively small samples. Despite these preliminary encouraging results, it is essential to replicate this experiment across countries using different data sets and welfare aggregates before validating the proposed method. 2019-12-13T21:36:16Z 2019-12-13T21:36:16Z 2019-12 Working Paper http://documents.worldbank.org/curated/en/271261575398109919/Estimating-Poverty-for-Refugee-Populations-Can-Cross-Survey-Imputation-Methods-Substitute-for-Data-Scarcity http://hdl.handle.net/10986/33020 English Policy Research Working Paper;No. 9076 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper Middle East and North Africa Syrian Arab Republic
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English
topic	POVERTY POVERTY MEASUREMENT POVERTY ESTIMATE REFUGEES DATA SCARCITY
spellingShingle	POVERTY POVERTY MEASUREMENT POVERTY ESTIMATE REFUGEES DATA SCARCITY Dang, Hai-Anh H. Verme, Paolo Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity?
geographic_facet	Middle East and North Africa Syrian Arab Republic
relation	Policy Research Working Paper;No. 9076
description	The increasing growth of forced displacement worldwide has led to the stronger interest of various stakeholders in measuring poverty among refugee populations. However, refugee data remain scarce, particularly in relation to the measurement of income, consumption, or expenditure. This paper offers a first attempt to measure poverty among refugees using cross-survey imputations and administrative and survey data collected by the United Nations High Commissioner for Refugees in Jordan. Employing a small number of predictors currently available in the United Nations High Commissioner for Refugees registration system, the proposed methodology offers out-of-sample predicted poverty rates. These estimates are not statistically different from the actual poverty rates. The estimates are robust to different poverty lines, they are more accurate than those based on asset indexes or proxy means tests, and they perform well according to targeting indicators. They can also be obtained with relatively small samples. Despite these preliminary encouraging results, it is essential to replicate this experiment across countries using different data sets and welfare aggregates before validating the proposed method.
format	Working Paper
author	Dang, Hai-Anh H. Verme, Paolo
author_facet	Dang, Hai-Anh H. Verme, Paolo
author_sort	Dang, Hai-Anh H.
title	Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity?
title_short	Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity?
title_full	Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity?
title_fullStr	Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity?
title_full_unstemmed	Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity?
title_sort	estimating poverty for refugee populations : can cross-survey imputation methods substitute for data scarcity?
publisher	World Bank, Washington, DC
publishDate	2019
url	http://documents.worldbank.org/curated/en/271261575398109919/Estimating-Poverty-for-Refugee-Populations-Can-Cross-Survey-Imputation-Methods-Substitute-for-Data-Scarcity http://hdl.handle.net/10986/33020
_version_	1764477822049452032

Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity?

Similar Items